Sample records for introduction econometric method

  1. An introduction to financial econometrics Jianqing Fan

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    Wang, Lily

    An introduction to financial econometrics Jianqing Fan Department of Operation Research econometrics? This simple question does not have a simple answer. The boundary of such an interdisciplinary speaking, financial econometrics is to study quantitative problems arising from finance. It uses sta

  2. New methods for econometric inference

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    Chetverikov, D. N. (Denis Nikolaevich)

    2013-01-01T23:59:59.000Z

    Monotonicity is a key qualitative prediction of a wide array of economic models derived via robust comparative statics. It is therefore important to design effective and practical econometric methods for testing this ...

  3. High Dimensional Sparse Econometric Models: An Introduction

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    Belloni, Alexandre

    2011-06-26T23:59:59.000Z

    In this chapter we discuss conceptually high dimensional sparse econometric models as well as estimation of these models using ?1-penalization and post-?1-penalization methods. Focusing on linear and nonparametric regression ...

  4. A selective overview of nonparametric methods in financial econometrics

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    Fan, Jianqing

    A selective overview of nonparametric methods in financial econometrics Jianqing Fan Department a brief overview on the nonparametric techniques that are useful for financial econometric problems, securities regulation, proprietary trading, financial consulting and risk management. Financial econometrics

  5. ECON 502 Syllabus Syllabus for ECON 502: Econometric Methods

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    Suzuki, Masatsugu

    ECON 502 Syllabus Dr. Ghosh Syllabus for ECON 502: Econometric Methods Fall 2010 Instructor course in econometrics. "Econometrics is the application of statistical and mathematical methods and refuting them." So a course in econometrics ­ even this introductory one ­ involves both theory

  6. 1 Introduction The hedonic housing price model is a powerful econometric tool for capturing

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    Wei, Yehua Dennis

    1 Introduction The hedonic housing price model is a powerful econometric tool for capturing to the advancement in spatial statistics and spatial econometrics (eg Anselin, 1988; Cliff and Ord, 1981; Griffith

  7. Econometric methods in real estate appraisal

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    Gilliland, Charles E.

    1979-01-01T23:59:59.000Z

    , therefore, reflects the type of car storage with each house. The age cycle (6ROUP) variable partitions the data set according to Ring's concept ot the cycle. To establish groupings, the properties are classif1ed accord1ng to s1milarity of development... in terms of time required and accuracy of market value estimates. In mass appraisal applica- tions, much of the available data on recent sale activity does not enter the appraisal procedure for a specific property. Econometric methods facilitate...

  8. ECON 466 -INTRODUCTION TO ECONOMETRICS Instructor: Kai Sun Class Room: Engineering Building N25

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    Suzuki, Masatsugu

    ECON 466 - INTRODUCTION TO ECONOMETRICS Fall 2010 Instructor: Kai Sun Class Room: Engineering web page: blackboard.binghamton.edu (log in and select Intro To Econometrics-FALL10) TA: TBA, Introductory Econometrics: A Modern Approach, 4th edition, South-Western, 2008. Prerequisites: Grades of C

  9. Investigating Causal Relations by Econometric Models and Cross-spectral Methods C. W. J. Granger

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    Timmer, Jens

    Investigating Causal Relations by Econometric Models and Cross-spectral Methods C. W. J. Granger-9682%28196908%2937%3A3%3C424%3AICRBEM%3E2.0.CO%3B2-L Econometrica is currently published by The Econometric Society #12;Econometrics, Vol. 37, No. 3 (July, 1969) INVESTIGATING CAUSAL RELATIONS BY ECONOMETRIC MODELS

  10. Econometrics and Data Analysis I Yale University

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    Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) ­ Summer Session A, 2014 June 2 microeconomics and familiarity with single variable calculus. In most econometrics classes, mathematical methods textbook for this course is Introduction to Econometrics, 2nd or 3rd edition, by Stock and Watson (Addison

  11. 14.32 Econometrics, Spring 2003

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    Angrist, Joshua David

    Introduction to econometric models and techniques, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. Includes problem sets. ...

  12. Approved Module Information for BS2248, 2014/5 Module Title/Name: Introduction to Econometrics 2 Module Code: BS2248

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    Neirotti, Juan Pablo

    Approved Module Information for BS2248, 2014/5 Module Title/Name: Introduction to Econometrics 2 Dependancies Pre-requisites: Introduction to Econometrics 1 (BS2247). Co-requisites: None Specified Module Learning Information Module Aims: To introduce the fundamental econometric theories and techniques

  13. Approved Module Information for BS2247, 2014/5 Module Title/Name: Introduction to Econometrics 1 Module Code: BS2247

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    Neirotti, Juan Pablo

    Approved Module Information for BS2247, 2014/5 Module Title/Name: Introduction to Econometrics 1 aims to provide the students with the most basic and important Econometrics knowledge, including simple and multiple linear regressions, and prepare them for BS2248 Introduction to Econometrics II. Pre

  14. Approved Module Information for BS3336, 2014/5 Module Title/Name: Applied Econometrics and Forecasting Module Code: BS3336

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    Neirotti, Juan Pablo

    Approved Module Information for BS3336, 2014/5 Module Title/Name: Applied Econometrics Introduction to Econometrics I AND BS2248 Introduction to Econometrics II Available to Exchange Students students undertake and advances their knowledge and skills to the methods of econometric and time

  15. Introduction Conjugate Gradient Method

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    Vuik, Kees

    Introduction Conjugate Gradient Method Deflation Domain Decomposition Research Master Thesis Presentation #12;Introduction Conjugate Gradient Method Deflation Domain Decomposition Research Plaxis Finite Kaliszka Master Thesis Literature Study Presentation #12;Introduction Conjugate Gradient Method Deflation

  16. MARIE CURIE Research Training Network (RTN) Computational Optimization Methods in Statistics, Econometrics and Finance

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    Nagurney, Anna

    in Statistics, Econometrics and Finance Dept. of Economics, Justus-Liebig-University, Giessen, Germany ­ Dept. of Econometrics, Université de Genčve, Switzerland ­ Risk Analytics & Instruments, Deutsche Bank AG, Frankfurt. of Economics, Klagenfurt University, Austria ­ Dept. of Econometrics, University of Lodz, Poland 12

  17. Foundations and Trends R Econometrics

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    Lansky, Joshua

    Foundations and Trends R in Econometrics Vol. 2, Nos. 1­2 (2006) 1­145 c 2008 A. Golan DOI: 10.1561/0800000004 Information and Entropy Econometrics -- A Review and Synthesis Amos Golan Department of Economics, American are to study the basics of information-theoretic methods in econometrics, to exam- ine the connecting theme

  18. Four essays in econometrics

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    Lu, Xun (Sean)

    2010-01-01T23:59:59.000Z

    tional Moment Test,” Econometric Theory, 15, 710-718. [23]Specification Tests,” Econometric Theory, 25, 162-194. [54]Heckman, J. J. (2008), “Econometric Causality,” NBER Working

  19. Econometrics and Data Analysis I Yale University

    E-Print Network [OSTI]

    Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) ­ Summer Session B, 2013 July 8 microeconomics and familiarity with single variable calculus. In most econometrics classes, mathematical methods

  20. Asset Values and Econometric Fundamentals

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    Craine, Roger

    1988-01-01T23:59:59.000Z

    Robert E. , Jr. 1976. Econometric Policy Evaluation: ALucas'(l976) famous econometric critique that proper

  1. RANDOM SETS IN FINANCE AND ECONOMETRICS Ilya Molchanov

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    Molchanov, Ilya

    1 RANDOM SETS IN FINANCE AND ECONOMETRICS Ilya Molchanov Department of Mathematical Statistics several examples where random sets appear in math- ematical finance and econometrics: trading with transaction costs, risk measures, option prices, and partially identified econometric models. 1.1 Introduction

  2. Python for Unified Research in Econometrics and Statistics Roseline Bilina

    E-Print Network [OSTI]

    Boyer, Edmond

    Python for Unified Research in Econometrics and Statistics Roseline Bilina Steve Lawford Cornell-alone applications in econometrics and statistics, and as a tool for gluing different applications together. (It methods and programming), C87 (Econometric software), C88 (Other computer software). Keywords: Object

  3. Financial Econometrics (29:390:300:50) Fall 2008 Professor Robert H. Patrick

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    Lin, Xiaodong

    1 Financial Econometrics (29:390:300:50) Fall 2008 Professor Robert H. Patrick Department requirement for students that have not taken Introduction to Econometrics already. Students who are double majors in Finance and Economics can take Introduction to Econometrics (220:322). References Course

  4. Outline Sim econometric

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    Siegen, Universität

    econometric e at some ra ate static pa ation of DPD ond (1991) (Event Stud s survival a ormatting nary summ

  5. Studies in Nonlinear Dynamics & Econometrics

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    Studies in Nonlinear Dynamics & Econometrics Volume 8, Issue 3 2004 Article 1 The Long Memory in Nonlinear Dynamics & Econometrics is produced by The Berkeley Electronic Press (bepress). http

  6. The Econometrics of High Frequency Data Per A. Mykland and Lan Zhang

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    Mykland, Per A.

    The Econometrics of High Frequency Data Per A. Mykland and Lan Zhang This version: February 12 Econometrics of High Frequency Data 1 1 Introduction 1.1 Overview This is a course on estimation in high frequency data. It is intended for an audience that includes people interested in finance, econometrics

  7. The Econometrics of High Frequency Data Per A. Mykland and Lan Zhang

    E-Print Network [OSTI]

    Mykland, Per A.

    The Econometrics of High Frequency Data Per A. Mykland and Lan Zhang This version: 31 August, 2010 Nilsen, and B°ard Střve. #12;The Econometrics of High Frequency Data 1 1 Introduction 1.1 Overview interested in finance, econometrics, statistics, probability and financial engineering. There has in recent

  8. Econometrics (26:223:554:01) Fall 2000 Meets Thursdays, 10 AM-12:50 PM, Eng. 213, Newark Campus

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    Lin, Xiaodong

    Econometrics (26:223:554:01) Fall 2000 Meets Thursdays, 10 AM-12:50 PM, Eng. 213, Newark Campus://www.rci.rutgers.edu/~rpatrick/hp.html The purpose of this course is to develop basic econometric estimation and hypothesis testing tools necessary on the theoretical foundations of econometric analysis and strategies for applying these basic econometric methods

  9. Some Thoughts on Econometric Information Recovery

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    Judge, George G.

    2013-01-01T23:59:59.000Z

    Paper 1135 Some Thoughts on Econometric Information Recoverys). Some Thoughts on Econometric Information Recovery GeorgeTheoretic Approach To Econometric Information Recovery

  10. An Introduction to the Conjugate Gradient Method

    E-Print Network [OSTI]

    Zhang, Yi

    An Introduction to the Conjugate Gradient Method Without the Agonizing Pain Edition 11 4 Jonathan Abstract The Conjugate Gradient Method is the most prominent iterative method for solving sparse systems, the Conjugate Gradient Method is a composite of simple, elegant ideas that almost anyone can understand

  11. An Introduction to the Conjugate Gradient Method

    E-Print Network [OSTI]

    Shewchuk, Jonathan

    An Introduction to the Conjugate Gradient Method Without the Agonizing Pain Edition 1 1 4 Jonathan Abstract The Conjugate Gradient Method is the most prominent iterative method for solving sparse systems, the Conjugate Gradient Method is a composite of simple, elegant ideas that almost anyone can understand

  12. An Introduction to the Conjugate Gradient Method

    E-Print Network [OSTI]

    An Introduction to the Conjugate Gradient Method Without the Agonizing Pain Jonathan Richard 15213 Abstract The Conjugate Gradient Method is the most prominent iterative method for solving sparse the mumblings of their forebears. Nevertheless, the Conjugate Gradient Method is a composite of simple, elegant

  13. INTRODUCTION TO THE FINITE ELEMENT METHOD

    E-Print Network [OSTI]

    California at Berkeley, University of

    in popularity with the finite difference method in the areas of heat transfer and fluid mechanics. 1DRAFT Chapter 1 INTRODUCTION TO THE FINITE ELEMENT METHOD 1.1 Historical perspective: the origins of the finite el- ement method The finite element method constitutes a general tool for the numerical solution

  14. Three essays on econometrics

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    Lee, Joonhwan

    2014-01-01T23:59:59.000Z

    This thesis consists of three chapters that cover separate topics in econometrics. The first chapter demonstrate a negative result on the asymptotic sizes of subset Anderson- Rubin tests with weakly identified nuisance ...

  15. Remote Method Invocations 13.1 Introduction

    E-Print Network [OSTI]

    Garg, Vijay

    Chapter 13 Remote Method Invocations 13.1 Introduction A popular way of developing distributed applications is based on the concept of remote procedure calls (RPC's) or remote method invocations (RMI's). Here the main idea is that a process can make calls to methods of a remote object as if it were

  16. An Econometrics Analysis of Freight Rail Demand Growth in Albert Wijeweera a, *

    E-Print Network [OSTI]

    1 An Econometrics Analysis of Freight Rail Demand Growth in Australia Albert Wijeweera a, * , Hong of non-bulk freight demand in Australia. The paper uses a simple but robust econometrics method this growth at about four per cent per year (BTRE, 2006). The econometric model used herein enables us

  17. The Econometrics of Financial Markets

    E-Print Network [OSTI]

    Landweber, Laura

    The Econometrics of Financial Markets John Y. Campbell, Andrew W. Lo, and A. Craig Mac, in a review of The Econometrics of Financial Markets, winner of TIAA-CREF's 1997 Paul A. Samuelson AwardKinlay's The Econometrics of Finan- cial Markets made a bold leap forward by integrating theory and empirical work

  18. Econometrics 26 223 554 01

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    Lin, Xiaodong

    Econometrics 26 223 554 01 Fall 2014 (Thursdays, 1:00 - 3:50 pm) Instructor: Daniela Osterrieder Author Fumio Hayashi Book title Econometrics Year 2000 Publisher Princeton University Press ISBN-10 0 is designed to introduce the course participants to the use of Econometrics in the form of an empirical study

  19. Econometric analysis of imperfect competition and implications for trade research

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    Perloff, Jeffrey M

    1991-01-01T23:59:59.000Z

    220. ROhlfs. Jeffrey. 'Econometric Analysis of Supply Inmodem studies use structural econometric models. parametercomplete structural econometric models based on formal

  20. Research Assistant (Econometrics Specialist) -Centro de Estudios Puertorriqueos Job Title: Research Assistant (Econometrics Specialist)

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    Qiu, Weigang

    Research Assistant (Econometrics Specialist) - Centro de Estudios Puertorriqueńos Job Title: Research Assistant (Econometrics Specialist) ­ Centro de Estudios Puertorriqueńos Job ID: 10155 Location related field is preferred. Training in econometrics and experience in applying econometrics are required

  1. Econometric model and futures markets commodity price forecasting

    E-Print Network [OSTI]

    Just, Richard E.; Rausser, Gordon C.

    1979-01-01T23:59:59.000Z

    Versus CCll1rnercial Econometric M:ldels." Uni- versity ofWorking Paper No. 72 ECONOMETRIC ! 'econometric forecasts with the futures

  2. Econometric Models of Discrete/Continuous Supply Decisions under Uncertainty

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    Hanemann, W. Michael; Tsur, Yacov

    1982-01-01T23:59:59.000Z

    357-382. XcFadden, D. "Econometric Net Supply Systems forpoint of view of the econometric investigator. the producerin New Directions in Econometric Modeling and Forecasting in

  3. An Econometric Model of the Demand for Food and Nutrition

    E-Print Network [OSTI]

    LaFrance, Jeffrey T.

    1999-01-01T23:59:59.000Z

    Holland, 1978. Blundell, R. “Econometric Approaches to theDemand Behavior. ” Econometric Reviews 5(1986): 89-146. . “Harvey, A. C. The Econometric Analysis of Time Series,

  4. Econometric Models of the Demand for Quality-Differentiated Goods

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    Hanemann, W. Michael

    1983-01-01T23:59:59.000Z

    J. K. Whitaker (eds. ), Econometric analysis for nationalpoint of view of the econometric investigator. For example,the consumer, but for the econometric investigator it is a

  5. Nonmarket Valuation under Preference Uncertainty: Econometric Models and Estimation

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    Hanemann, W. Michael; Kristrom, Bengt; Li, Chuan-Zhong

    1996-01-01T23:59:59.000Z

    3 The EconometricUNCERTAINTY: ECONOMETRIC MODELS AND ESTIMATION bY W. MichaelSection 3 introduces ihe econometric model. Section 4

  6. Method for introduction of gases into microspheres

    DOE Patents [OSTI]

    Hendricks, Charles D. (Livermore, CA); Koo, Jackson C. (San Ramon, CA); Rosencwaig, Allan (Danville, CA)

    1981-01-01T23:59:59.000Z

    A method for producing small hollow glass spheres filled with a gas by introduction of the gas during formation of the hollow glass spheres. Hollow glass microspheres having a diameter up to about 500.mu. with both thin walls (0.5 to 4.mu.) and thick walls (5 to 20.mu.) that contain various fill gases, such as Ar, Kr, Xe, Br, DT, H.sub.2, D.sub.2, He, N.sub.2, Ne, CO.sub.2, etc. in the interior thereof, can be produced by the diffusion of the fill gas or gases into the microsphere during the formation thereof from a liquid droplet of glass-forming solution. This is accomplished by filling at least a portion of the multiple-zone drop-furnace used in producing hollow microspheres with the gas or gases of interest, and then taking advantage of the high rate of gaseous diffusion of the fill gas through the wall of the gel membrane before it transforms into a glass microsphere as it is processed in the multiple-zone furnace. Almost any gas can be introduced into the inner cavity of a glass microsphere by this method during the formation of the microsphere provided that the gas is diffused into the gel membrane or microsphere prior to its transformation into glass. The process of this invention provides a significant savings of time and related expense of filling glass microspheres with various gases. For example, the time for filling a glass microballoon with 1 atmosphere of DT is reduced from about two hours to a few seconds.

  7. Introduction to Finite Element Methods \\Lambda Paul S. Heckbert

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    Treuille, Adrien

    Introduction to Finite Element Methods \\Lambda Paul S. Heckbert Carnegie Mellon University Global be solved numerically. In this chapter we explain some of the basics of the finite element method Illumination course notes, SIGGRAPH '93, Anaheim, Aug. 1993 4­1 #12; 4­2 Introduction to Finite Element Methods

  8. The Econometrics of Data Combination Geert Ridder

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    The Econometrics of Data Combination Geert Ridder Department of Economics, University of Southern University,Baltimore E-mail: moffitt@jhu.edu Chapter for the Handbook of Econometrics April 1, 2005 We thank

  9. AN ECONOMETRIC ANALYSIS OF NET INVESTMENT IN

    E-Print Network [OSTI]

    NOTES AN ECONOMETRIC ANALYSIS OF NET INVESTMENT IN GULF SHRIMP FISHING VESSELS1 The major capital to the Gulf shrimp fishery. The purpose of this study is to estimate an econometric model of annual real net

  10. Graphical models, causal inference, and econometric models

    E-Print Network [OSTI]

    Spirtes, Peter

    Graphical models, causal inference, and econometric models Peter Spirtes Abstract A graphical model modeling has historical ties to causal modeling in econometrics and other social sciences, there have been isolated from the econometric tradition. In this paper I will describe a number of recent developments

  11. Applied Econometrics University of British Columbia

    E-Print Network [OSTI]

    Farrell, Anthony P.

    FRE 528 Applied Econometrics University of British Columbia Fall, 2014 Instructor: Michael Johnson constraints and econometric challenges) along with potential solutions to these problems. Students. Textbook/References: R. Carter Hill, William E. Griffiths and Guay C. Lim, Principles of Econometrics

  12. Tier II Canada Research Chair Financial Econometrics

    E-Print Network [OSTI]

    Sinnamon, Gordon J.

    Tier II Canada Research Chair in Financial Econometrics The University of Western Ontario Research Chair in the area of Financial Econometrics, at the rank of probationary (tenure-track) Assistant: Labour Economics, Macroeconomics, Micro Theory and Econometrics. Quantitative Finance is an area

  13. The Daily Duration of Transportation: An Econometric and Sociological Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    The Daily Duration of Transportation: An Econometric and Sociological Approach Karl Littlejohn. 2007Monte Veritŕ / Ascona, September #12;#12;3 The Daily Duration of Transportation: An Econometric

  14. 5 Ecosystem exchange measurement methods 5.3 Introduction

    E-Print Network [OSTI]

    5 Ecosystem exchange measurement methods 5.3 Introduction To understand the behaviour of an ecosystem it is important to know its resource requirements. Though numerous resources are mobilized models have attempted to represent the growth of entire plants or of entire ecosystems based on physical

  15. THE TJALLING C+ KOOPMANS ECONOMETRIC THEORY PRIZE: 19941996

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    Davis, Richard A.

    THE TJALLING C+ KOOPMANS ECONOMETRIC THEORY PRIZE: 1994­1996 Econometric Theory is proud to announce the winning article for theTjalling C+ Koopmans Econometric Theory Prize over the period 1994 articles published in Econometric Theory ~1994­1996! were candidates for the prize, except those that were

  16. An Econometric Model of the Yield Curve With Macroeconomic Jump Effects

    E-Print Network [OSTI]

    Piazzesi, Monika

    2001-01-01T23:59:59.000Z

    Kenneth Singleton (1997). “An Econometric Model of the TermDiscretely-Sampled Data. ” Econometric Theory 4, pp. 231-An Econometric Model of the Yield Curve with Macroeconomic

  17. Regional Income Inequality in Post-1978 China: A Kaldorian Spatial Econometric Approach

    E-Print Network [OSTI]

    Jeon, Yongbok

    2007-01-01T23:59:59.000Z

    A Panel Data Approach”, Econometric Reviews, 22, pp.59-77Matter? A Spatial Econometric View of Kaldor’s Laws,”convergence: A spatial econometric perspective”, Regional

  18. The Econometric Analysis of Interval-valued Data and Adaptive Regression Splines

    E-Print Network [OSTI]

    Lin, Wei

    2013-01-01T23:59:59.000Z

    and Miller, D. (2000). Econometric Foundations. CambridgeRegression Models,” Econometric Reviews. Vol. 8, pp. 217-De- pendent Bootstrap,” Econometric Reviews. Vol. 23, pp.

  19. Industrial Conflict, Mass Demonstrations, and Economic and Political Change in Postwar France: An Econometric Model

    E-Print Network [OSTI]

    Borrel, Monique J

    2004-01-01T23:59:59.000Z

    Business Cycle: An Econometric Analysis. Oxford, Blackwell,in Postwar France: An Econometric Model Monique Borrel I.to political vagaries. The econometric model presented here

  20. Capturing the Impact of Fuel Price on Jet Aircraft Operating Costs with Engineering and Econometric Models

    E-Print Network [OSTI]

    Smirti Ryerson, Megan; Hansen, Mark

    2009-01-01T23:59:59.000Z

    with Engineering and Econometric Models Megan Smirti RyersonCosts with Engineering and Econometric Models Megan Smirtiforces. To this end, an econometric operating cost model (

  1. Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model

    E-Print Network [OSTI]

    Liu, Yue

    2013-01-01T23:59:59.000Z

    1994. [9] Greene, W. B. , Econometric Analysis, Pearson /and Semiparametric Panel Econometric Models: Estimation andDEPendent models. This econometric software package was

  2. Industrial Conflict, Mass Demonstrations, and Economic and Political Change in Postwar France: An Econometric Model

    E-Print Network [OSTI]

    Borrel, Monique J

    2002-01-01T23:59:59.000Z

    Business Cycle: An Econometric Analysis. Oxford, Blackwell,in Postwar France: An Econometric Model Monique Borrel I.to political vagaries. The econometric model presented here

  3. Author's personal copy Journal of Econometrics 147 (2008) 336349

    E-Print Network [OSTI]

    LaFrance, Jeffrey T.

    2008-01-01T23:59:59.000Z

    Author's personal copy Journal of Econometrics 147 (2008) 336­349 Contents lists available at ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom The structure

  4. Article No. ectj?????? Econometrics Journal (2008), volume 04, pp. 132.

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    2008-01-01T23:59:59.000Z

    Article No. ectj?????? Econometrics Journal (2008), volume 04, pp. 1­32. Realised Kernels is a Brownian motion, all adapted to some filtration F. For reviews of the econometrics of processes of the type

  5. Parallel Computation In Econometrics: A Simplified Approach Jurgen A. Doornik

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Parallel Computation In Econometrics: A Simplified Approach Jurgen A. Doornik , Neil Shephard Parallel computation has a long history in econometric computing, but is not at all wide spread. We believe optimization; Econometrics; High-performance computing; Matrix-programming language; Monte Carlo; MPI; Ox

  6. Some applications of functional data analysis to econometrics and finance

    E-Print Network [OSTI]

    Kokoszka, Piotr

    Some applications of functional data analysis to econometrics and finance Piotr Kokoszka Department of Statistics, Penn State University Piotr Kokoszka FDA in econometrics and finance #12;Outline Functional time Kokoszka FDA in econometrics and finance #12;Cumulative intraday returns on SP500; Lucca and Moench 2014

  7. Limit theorems for bipower variation in financial econometrics

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Limit theorems for bipower variation in financial econometrics Ole E. Barndorff-Nielsen Department econometrics. The analysis is carried out under some rather general Brownian semimartingale assumptions, which come from and how they sit within the econometrics literature. Our theoretical development is motivated

  8. Econometric Models of Asymmetric Ascending Auctions Department of Economics

    E-Print Network [OSTI]

    Niebur, Ernst

    Econometric Models of Asymmetric Ascending Auctions Han Hong Department of Economics Princeton econometric models of ascending (English) auctions which allow for both bid- der asymmetries as well as common an econometric model, thus extending the literature on structural estimation of auction models. Finally

  9. Integer-valued Levy processes and low latency financial econometrics

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Integer-valued L´evy processes and low latency financial econometrics Ole E. Barndorff Abstract Motivated by features of low latency data in financial econometrics we study in detail integer- valued L´evy processes as the basis of price processes for high frequency econometrics. We propose using

  10. Discussion on Agricultural Econometrics: Its History and Its Future

    E-Print Network [OSTI]

    McCarl, Bruce A.

    Discussion on Agricultural Econometrics: Its History and Its Future David A. Bessler Texas A&M UniversityTexas A&M University AAEA Session on History of Econometrics1 Denver, Colorado Tuesday, July 27 Concerns · Partial Answers (Instrumental Variables) · Cautions · Revolution in Econometrics · Mopping

  11. ISSN 1745-9648 Econometric Evidence on the Impacts of

    E-Print Network [OSTI]

    Feigon, Brooke

    ISSN 1745-9648 Econometric Evidence on the Impacts of Privatization, New Entry, and Independent and China) over the time period 1991-2006 under a 3-equation econometric framework. The estimation results regulator; mobile network; econometric analysis #12;Acknowledgements: I would like to thank Catherine

  12. Regression and Causation: A Critical Examination of Six Econometrics Textbooks

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Regression and Causation: A Critical Examination of Six Econometrics Textbooks Bryant Chen-1596, USA (310) 825-3243 September 10, 2013 Abstract This report surveys six influential econometric acceptance of the causal content of econometric equations and, uniformly, fail to provide coherent

  13. Economics 397 Spring 1998 Macro-Econometrics Professor Miller

    E-Print Network [OSTI]

    Ahmad, Sajjad

    Economics 397 Spring 1998 Macro-Econometrics Professor Miller Ms. Pattanapanchai,however,itshouldbeinyourownwords.Also,pleaselistthenamesoftheothermembersofyourstudygrouponthefrontpageofyourhomework assignment. Textbooks: (All textbooks are available in the UConn Coop) 1. Applied Econometric Time Series (AETS), Walter Enders, Wiley, 1995. 2. RATS Handbook for Econometric Time Series (RHETS), by Walter

  14. Working Paper 03-24 Statistics and Econometrics Series 05

    E-Print Network [OSTI]

    Ortega, Esther Ruiz

    Working Paper 03-24 Statistics and Econometrics Series 05 April 2003 Departamento de Estadística y complex to be realistic, the Econometrics needed to estimate them are more difficult. Consequently, Statistics and Econometrics Department, University Carlos III of Madrid, C/ Madrid 126 28903 Getafe (Madrid

  15. Syllabus for Ec 122: Econometrics Room: 125 Baxter

    E-Print Network [OSTI]

    Low, Steven H.

    Syllabus for Ec 122: Econometrics Fall, 2013 Room: 125 Baxter Days and Times: Tuesdays and Thursdays, 1 - 2:30pm Required Text: Principles of Econometrics, 4th Edition, Hill, Griffiths, and Lim, Wiley, 2011. Recommended Text: Applied Econometrics in R, Kleiber and Zeileis, Springer, 2008

  16. Method for facilitating the introduction of material into cells

    DOE Patents [OSTI]

    Holcomb, David E. (Oak Ridge, TN); McKnight, Timothy E. (Greenback, TN)

    2000-01-01T23:59:59.000Z

    The present invention is a method for creating a localized disruption within a boundary of a cell or structure by exposing a boundary of a cell or structure to a set of energetically charged particles while regulating the energy of the charged particles so that the charged particles have an amount of kinetic energy sufficient to create a localized disruption within an area of the boundary of the cell or structure, then upon creation of the localized disruption, the amount of kinetic energy decreases to an amount insufficient to create further damage within the cell or structure beyond the boundary. The present invention is also a method for facilitating the introduction of a material into a cell or structure using the same methodology then further exciting the area of the boundary of the cell or structure where the localized disruption was created so to create a localized temporary opening within the boundary then further introducing the material through the temporary opening into the cell or structure.

  17. Accelerated molecular dynamics methods: introduction and recent developments

    SciTech Connect (OSTI)

    Uberuaga, Blas Pedro [Los Alamos National Laboratory; Voter, Arthur F [Los Alamos National Laboratory; Perez, Danny [Los Alamos National Laboratory; Shim, Y [UNIV OF TOLEDO; Amar, J G [UNIV OF TOLEDO

    2009-01-01T23:59:59.000Z

    A long-standing limitation in the use of molecular dynamics (MD) simulation is that it can only be applied directly to processes that take place on very short timescales: nanoseconds if empirical potentials are employed, or picoseconds if we rely on electronic structure methods. Many processes of interest in chemistry, biochemistry, and materials science require study over microseconds and beyond, due either to the natural timescale for the evolution or to the duration of the experiment of interest. Ignoring the case of liquids xxx, the dynamics on these time scales is typically characterized by infrequent-event transitions, from state to state, usually involving an energy barrier. There is a long and venerable tradition in chemistry of using transition state theory (TST) [10, 19, 23] to directly compute rate constants for these kinds of activated processes. If needed dynamical corrections to the TST rate, and even quantum corrections, can be computed to achieve an accuracy suitable for the problem at hand. These rate constants then allow them to understand the system behavior on longer time scales than we can directly reach with MD. For complex systems with many reaction paths, the TST rates can be fed into a stochastic simulation procedure such as kinetic Monte Carlo xxx, and a direct simulation of the advance of the system through its possible states can be obtained in a probabilistically exact way. A problem that has become more evident in recent years, however, is that for many systems of interest there is a complexity that makes it difficult, if not impossible, to determine all the relevant reaction paths to which TST should be applied. This is a serious issue, as omitted transition pathways can have uncontrollable consequences on the simulated long-time kinetics. Over the last decade or so, we have been developing a new class of methods for treating the long-time dynamics in these complex, infrequent-event systems. Rather than trying to guess in advance what reaction pathways may be important, we return instead to a molecular dynamics treatment, in which the trajectory itself finds an appropriate way to escape from each state of the system. Since a direct integration of the trajectory would be limited to nanoseconds, while we are seeking to follow the system for much longer times, we modify the dynamics in some way to cause the first escape to happen much more quickly, thereby accelerating the dynamics. The key is to design the modified dynamics in a way that does as little damage as possible to the probability for escaping along a given pathway - i.e., we try to preserve the relative rate constants for the different possible escape paths out of the state. We can then use this modified dynamics to follow the system from state to state, reaching much longer times than we could reach with direct MD. The dynamics within any one state may no longer be meaningful, but the state-to-state dynamics, in the best case, as we discuss in the paper, can be exact. We have developed three methods in this accelerated molecular dynamics (AMD) class, in each case appealing to TST, either implicitly or explicitly, to design the modified dynamics. Each of these methods has its own advantages, and we and others have applied these methods to a wide range of problems. The purpose of this article is to give the reader a brief introduction to how these methods work, and discuss some of the recent developments that have been made to improve their power and applicability. Note that this brief review does not claim to be exhaustive: various other methods aiming at similar goals have been proposed in the literature. For the sake of brevity, our focus will exclusively be on the methods developed by the group.

  18. Price and Non-Price Influences on Water Conservation: An Econometric Model of Aggregate Demand under Nonlinear Budget Constraint

    E-Print Network [OSTI]

    Corral, Leonardo; Fisher, Anthony C.; Hatch, Nile W.

    1999-01-01T23:59:59.000Z

    declining-block tarrifs: An econometric study using micro-ON WATER CONSERVATION: ECONOMETRIC AN MODEL OF AGGREGATEWater Conservation: An Econometric Model of Aggregate Demand

  19. Is Public R&D a Complement or Substitute for Private R&D? A Review of the Econometric Evidence

    E-Print Network [OSTI]

    David, Paul A.; Hall, Bronwyn H.; Toole, Andrew A.

    1999-01-01T23:59:59.000Z

    R & D and productivity: econometric results and measurementtheoretical analysis and econometric evidence (presentationR&D? A Review of the Econometric Evidence Paul A . David All

  20. Econometric Analysis of Discrete-Valued Irregularly-Spaced Financial Transactions Data Using a New Autoregressive Conditional Multinomial Model

    E-Print Network [OSTI]

    Russell, Jeffrey; Engle, Robert F

    1998-01-01T23:59:59.000Z

    Lancaster, T. , 1990, The Econometric Analysis of TransitionDEPARTMENT OF ECONOMICS ECONOMETRIC ANALYSIS OF DISCRETE-PAPER 98-10 APRIL 1998 Econometric analysis of discrete-

  1. The Multi-Stage Investment Timing Game in Offshore Petroleum Production: Preliminary results from an econometric model

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    2007-01-01T23:59:59.000Z

    robustness checks from the econometric model coefficients inPreliminary results from an econometric model C. -Y.paper uses a structural econometric model to analyze the

  2. Introduction

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment of EnergyIndustry15AmongPartnership forWhenIntroduction to

  3. Introduction

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment of EnergyIndustry15AmongPartnership forWhenIntroduction to

  4. Introduction

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment of EnergyIndustry15AmongPartnership forWhenIntroduction

  5. Introduction

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1, 1999 Inspection offorInternationalAugust 14, 2012InIntroduction

  6. Effects of Catalyst Introduction Methods Using PAMAM Dendrimers on Selective Electroless Nickel Deposition on Polyelectrolyte

    E-Print Network [OSTI]

    Lee, Ilsoon

    Effects of Catalyst Introduction Methods Using PAMAM Dendrimers on Selective Electroless Nickel stamping. After patterning, the sample surfaces were placed in an electroless bath where nickel the effects of catalyst introduction methods using poly(amidoamine) (PAMAM) dendrimers on the nickel

  7. Syllabus for SS-223A: Advanced Topics in Econometric Theory: Asymptotics of Optimization Estimators

    E-Print Network [OSTI]

    Low, Steven H.

    Syllabus for SS-223A: Advanced Topics in Econometric Theory: Asymptotics of Optimization Estimators: 123 Baxter Phone: 4228 Course Description: Almost all estimators (econometric or otherwise, Springer-Verlag 4. Amemiya (1985), Advanced Econometrics, Harvard University Press 5. Lehmann (2004

  8. Job Opportunity: Statistics/Econometrics Research Assistant Location: Hunter College, City University of New York

    E-Print Network [OSTI]

    Qiu, Weigang

    Job Opportunity: Statistics/Econometrics Research Assistant Location: Hunter College, City and between databases using statistical and/or econometric techniques Maintain and update quantitative candidates with bachelor's degrees and relevant skills will also be considered. Training in econometrics

  9. Descriptive and Critical Review of Multiregional Econometric Models of the United States

    E-Print Network [OSTI]

    Herman, Amy L.

    1984-01-01T23:59:59.000Z

    A Regional­ National Econometric Model of I taly . " PapersI m pact of the Regional Econometric Model on the Pol i cyG l ickman , N. J . "An Econometric Model of the P h i ladel

  10. Agricultural commodity price forecasting accuracy: futures markets versus commercial econometric models

    E-Print Network [OSTI]

    Rausser, Gordon C.; Just, Richard E.

    1979-01-01T23:59:59.000Z

    versus commercial econometric models Gordon C. RausserMARKETS VERSUS COM4ERCIAL ECONOMETRIC IDDELS by Gordon C.Futures Markets, snd Econometric Models Deeember, 19'7'6,

  11. Introduction

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28T23:59:59.000Z

    The objective of this Guide is to improve the quality of cost estimates and further strengthen the DOE program/project management system. This Guide strives to achieve this goal by providing uniform cost estimating methods as well as consistent estimate terminology. No cancellation.

  12. Econometric Theory, 7, 1991,519-529. Printed in the United Statesof America. FROM CHARACTERISTICFUNCTION

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Econometric Theory, 7, 1991,519-529. Printed in the United Statesof America. FROM integral. The univariateinversionhasbeenusedextensivelyin econometrics; a short review is given in Phillips

  13. Improving urban transport performances by tendering lots : an econometric estimation of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    - 1 - Improving urban transport performances by tendering lots : an econometric estimation, Christensen & Tretheway 1984), and a large number of econometric estimations had been realised on urban

  14. An Introduction to Statistical Issues and Methods in Metrology for Physical Science and

    E-Print Network [OSTI]

    Vardeman, Stephen B.

    An Introduction to Statistical Issues and Methods in Metrology for Physical Science and Engineering (Ohio) August 5, 2011 Abstract Statistical science and physical metrology are inextricably intertwined of Measurement/Metrology . . . . . . . . . . . . 3 1.2 Probability and Statistics and Measurement

  15. SAMPLING METHODS: A LIST OF SOURCES M.1 Introduction

    E-Print Network [OSTI]

    for sampling methods are available through online literature databases; Federal, State, and university libraries; the internet; and other sources. M.2 List of Sources Department of Energy (DOE). 1987, Safety, and Health, Office of Environmental Audit, Washington, D.C. ! General Description of Document

  16. Abstract Introduction Methods The new algorithm (P-Kmeans) is summarized as following

    E-Print Network [OSTI]

    Zhang, Shuzhong

    Abstract Introduction Methods The new algorithm (P-Kmeans) is summarized as following: Step 1 algorithm. Step 4: Perform three iterations of K-means for each particle, and update the cluster centroids that the performance of this new algorithm is much better than that of K-means and FKM consistently with shorter

  17. The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions

    E-Print Network [OSTI]

    Schlenker, Wolfram; Hanemann, W. Michael; Fisher, Anthony C.

    2004-01-01T23:59:59.000Z

    U.S. Agriculture: An Econometric Analysis of Optimal GrowingU.S. Agriculture: An Econometric Analysis of Optimal GrowingU.S. Agriculture: An Econometric Analysis of Optimal Growing

  18. Panel Data Econometric Models: Theory and Application

    E-Print Network [OSTI]

    Gao, Yichen

    2013-05-20T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2. NONPARAMETRIC ESTIMATION OF FIXED EFFECTS PANEL DATA MODELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1 Introduction....5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3. IS HONG KONG DOLLAR OVERVALUED? EVIDENCE FROM HONG KONG?S TRADE PRICES POST FINANCIAL CRISIS . . . . . . . . . . 14 3.1 Introduction...

  19. Monday 16 June 09:30 Macroeconomics. 14:30 Advanced Econometrics 1 (2 hours).

    E-Print Network [OSTI]

    Oxford, University of

    Monday 16 June 09:30 Macroeconomics. 14:30 Advanced Econometrics 1 (2 hours). Tuesday 17 June 09 2 (2 hours). 14:30 Advanced Econometrics 2 (2 hours). Friday 20 June 09:30 Advanced Microeconomics 1

  20. Econometrica, Vol. 72, No. 3 (May, 2004), 885925 ECONOMETRIC ANALYSIS OF REALIZED COVARIATION: HIGH

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Econometrica, Vol. 72, No. 3 (May, 2004), 885­925 ECONOMETRIC ANALYSIS OF REALIZED COVARIATION by the UK's ESRC through the grant "High Frequency Financial Econometrics Based upon Power Variation." All

  1. Who Pays for Sudden Oak Death? An Econometric Investigation of the Impact

    E-Print Network [OSTI]

    Standiford, Richard B.

    465 Who Pays for Sudden Oak Death? An Econometric Investigation of the Impact of an Emerging estimate econometrically the partial equilibrium relationship between realized costs of P. ramorum control

  2. Introduction Introduction

    E-Print Network [OSTI]

    Brass, Stefan

    : ``Introduction''. . Fry/Sibley: Evolution of data­base management systems. ACM Computing Surveys 8(1), 7 of the DBMS. . explain data independence, declarativity , and the three schema architecture. . name some DBMS vendors. . name di#erent classes of users of a database app­ lication system. . name some DBMS tools

  3. Variation, jumps, market frictions and high frequency data in financial econometrics

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Variation, jumps, market frictions and high frequency data in financial econometrics Ole E the econometrics of non-parametric estimation of the components of the variation of asset prices. This very active and order books. In our view the interaction of the new data sources with new econometric methodology

  4. Advanced Econometrics (26:223:655:01) Fall 2013 Professor Robert H. Patrick

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Econometrics (26:223:655:01) Fall 2013 Professor Robert H. Patrick Department of Finance://www.rci.rutgers.edu/~rpatrick/hp.html This course is a continuation and generalization of the material covered in Econometrics (26:223:554). The purpose of this course is to develop advanced econometric estimation and hypothesis testing tools

  5. Econometrics (26:223:554:01) Fall 2002 Professor Robert H. Patrick

    E-Print Network [OSTI]

    Lin, Xiaodong

    Econometrics (26:223:554:01) Fall 2002 Professor Robert H. Patrick Department of Finance and Economics Rutgers Business School - Newark and New Brunswick Econometrics will meet Thursdays, 10 AM-12:50 P econometric estimation and hypothesis testing tools necessary to analyze and interpret the empirical relevance

  6. Econometric Feedback for Runtime Risk Management in VoIP Architectures

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Econometric Feedback for Runtime Risk Management in VoIP Architectures Oussema Dabbebi, R at automatically adapting these parameters based on an econometric feedback mechanism. We mathematically describe the configuration of such risk models, by refining at runtime the model parameters based on an econometric feedback

  7. Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Impact of jumps on returns and realised variances: econometric analysis of time-deformed L In order to assess the effect of jumps on realised variance calculations, we study some of the econometric econometric work on realised variance. Keywords: Kalman filter, L´evy process, Long-memory, Quasi

  8. Heavy subsidization reduces free-ridership: Evidence from an econometric study of the

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    No 50-2013 Heavy subsidization reduces free-ridership: Evidence from an econometric study subsidization reduces free-ridership: Evidence from an econometric study of the French dwelling insulation tax credit Abstract This econometric study assesses the efficiency of the tax credit implemented in France

  9. Center for Operations Research and Econometrics (CORE) Institut de statistique, biostatistique et sciences actuarielles (ISBA)

    E-Print Network [OSTI]

    Nesterov, Yurii

    Center for Operations Research and Econometrics (CORE) Institut de statistique, biostatistique et sciences actuarielles (ISBA) Vacancy PhD positions in statistics, econometrics and actuarial catholique de Louvain opens up to four PhD positions in statistics, econometrics or actuarial sciences

  10. A GIS-Assisted Rail Construction Econometric Model that Incorporates LlDAR Data

    E-Print Network [OSTI]

    Hodgson, Michael E.

    A GIS-Assisted Rail Construction Econometric Model that Incorporates LlDAR Data David J. Cowen employed a raster GIS econometric routing model for the exploration of potential routes using construction in the grid-based econometric model was obtained from Light Detection and Ranging (LIDAR)data with accurate 0

  11. The Econometrics of High Frequency Per. A. Mykland and Lan Zhang

    E-Print Network [OSTI]

    Mykland, Per A.

    CHAPTER 2 The Econometrics of High Frequency Data Per. A. Mykland and Lan Zhang Department that includes people interested in finance, econometrics, statistics, probability and financial engineering particularly active, with contributions including 109 #12;110 THE ECONOMETRICS OF HIGH FREQUENCY DATA Andersen

  12. The determinants for labour contract length A French micro-econometric study

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 The determinants for labour contract length A French micro-econometric study Mohamed Ali BEN for contract duration by means of econometric duration models. The estimates are carried out from French data (TDE). An econometric treatment of the endogeneity of the labour contract status and unobservable

  13. ECONOMICS 220-507: ECONOMETRICS I Dr. Kusum Mundra Rutgers University, Newark

    E-Print Network [OSTI]

    Lin, Xiaodong

    1 ECONOMICS 220-507: ECONOMETRICS I Dr. Kusum Mundra Rutgers University, Newark Lectures: Th: 5 by appointment Phone: 973-353-5350 Email: kmundra@andromeda.rutgers.edu Aim Econometrics, literally "economic presents topics in econometrics including a review of the classical linear regression model and some

  14. A -moment approach to monotonic boundaries estimation: with applications in econometric and nuclear fields

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A -moment approach to monotonic boundaries estimation: with applications in econometric and nuclear application concerns frontier estimation in econometrics : the data typically consist of input factors Xi R of outputs y. Econometric considerations lead to the natural assumption that the cost function is isotonic

  15. Journal of Econometrics 148 (2009) 162178 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Kahana, Michael J.

    2009-01-01T23:59:59.000Z

    Journal of Econometrics 148 (2009) 162­178 Contents lists available at ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom Predictable returns and asset allocation: Should at the 2005 CIRANO-CIREQ Financial Econometrics Conference, the 2006 AFA meetings, the 2006 SED meetings

  16. Journal of Econometrics 162 (2011) 225239 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Zhao, Zhibiao

    2011-01-01T23:59:59.000Z

    Journal of Econometrics 162 (2011) 225­239 Contents lists available at ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom Nonparametric model validations for hidden Markov models with applications in financial econometrics Zhibiao Zhao Department of Statistics, Penn

  17. Advanced Econometrics (26:223:655:01) Fall 2012 Professor Robert H. Patrick

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Econometrics (26:223:655:01) Fall 2012 Professor Robert H. Patrick Department of Finance of the material covered in Econometrics (26:223:554). The purpose of this course is to develop advanced econometric estimation and hypothesis testing tools to analyze and interpret the empirical relevance

  18. 721339S 805339A 805683S Ekonometrian tilastolliset perusteet (Statistical Foundations of Econometrics)

    E-Print Network [OSTI]

    Klemelä, Jussi

    of Econometrics) Laajuus: 6 op / 28 tuntia luentoja, 14 tuntia laskuharjoituksia Opetuskieli: Suomi. Ajoitus. Yhteydet muihin opintoihin: ei ole Oppimateriaali: J. M. Wooldridge: Econometric Analysis of Cross Section and Panel Data (The MIT Press), William H. Greene: Econometric Analysis (Prentice Hall) Suoritustavat

  19. Econometrics of testing for jumps in financial economics using bipower variation

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Econometrics of testing for jumps in financial economics using bipower variation Ole E. Barndorff management and asset allocation. A stream of recent papers in financial econometrics has addressed this issue of quadratic variation to the increments of the risk premium. The re- cent econometric work on this topic

  20. Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State Level, 19631997

    E-Print Network [OSTI]

    Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State, industry level, technological leadership, spatial econometrics JEL codes: C21, I23, O33, R12 Copyright 2007 spatial econometric techniques, and focus on capturing the geographical dimension of growth

  1. An Econometric Study Of Vine Copulas D. Guganand P.A. Maugis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Econometric Study Of Vine Copulas D. Guéganand P.A. Maugis PSE, Université Paris 1 Panthéon. Both results are crucial to motivate any econometrical work based on vine copulas. We provide used in econometrics and finance. They became an essential tool for pricing complex products, managing

  2. Vine Copulas as a Way to Describe and Analyze Multi-Variate Dependence in Econometrics

    E-Print Network [OSTI]

    Kreinovich, Vladik

    Vine Copulas as a Way to Describe and Analyze Multi-Variate Dependence in Econometrics and analyzing multi-variate dependence in econometrics; see, e.g., [1­3, 7, 9­11, 13, 14, 21]. Our experience problems of econometrics, there is still a lot of confusion and misunderstanding related to vine copulas

  3. WORKING PAPER N 2008 -64 The econometrics of auctions with asymmetric

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    WORKING PAPER N° 2008 - 64 The econometrics of auctions with asymmetric anonymous bidders Laurent NORMALE SUPÉRIEURE halshs-00586039,version1-14Apr2011 #12;The Econometrics of Auctions with Asymmetric Perrigne, Quang Vuong, Frank Wolak and seminar participants at Stanford Econometric Seminar, at Stanford

  4. Causality in Economics and Econometrics An Entry for the New Palgrave Dictionary of Economics

    E-Print Network [OSTI]

    Fitelson, Branden

    Causality in Economics and Econometrics An Entry for the New Palgrave Dictionary of Economics Kevin;Causality in Economics and Econometrics K.D. Hoover 9 June 2006 Abstract of Causality in Economics and Econometrics An entry for the New Palgrave Dictionary of Economics. Traces the history of causality

  5. Simulation based Bayesian econometric inference: principles and some recent computational advances

    E-Print Network [OSTI]

    Nesterov, Yurii

    2007/15 Simulation based Bayesian econometric inference: principles and some recent computational/15 Simulation based Bayesian econometric inference: principles and some recent computational advances Lennart F aspects of simulation based Bayesian econometric inference. We start at an elementary level on basic

  6. Econometric Theory, 25, 2009, 14471448. Printed in the United States of America. doi:10.1017/S0266466609990028

    E-Print Network [OSTI]

    Shao, Xiaofeng

    Econometric Theory, 25, 2009, 1447­1448. Printed in the United States of America. doi:10.1017/S0266466609990028 THE 2006­2008 TJALLING C. KOOPMANS ECONOMETRIC THEORY PRIZE Wei Biao Wu Xiaofeng Shao Econometric Theory is proud to announce the winning article for The Tjalling C. Koopmans Econometric Theory Prize

  7. From Physics to Economics: An Econometric Example Using Maximum Relative Entropy

    E-Print Network [OSTI]

    Giffin, Adom

    2009-01-01T23:59:59.000Z

    Econophysics, is based on the premise that some ideas and methods from physics can be applied to economic situations. We intend to show in this paper how a physics concept such as entropy can be applied to an economic problem. In so doing, we demonstrate how information in the form of observable data and moment constraints are introduced into the method of Maximum relative Entropy (MrE). A general example of updating with data and moments is shown. Two specific econometric examples are solved in detail which can then be used as templates for real world problems. A numerical example is compared to a large deviation solution which illustrates some of the advantages of the MrE method.

  8. Fifth Italian Congress of Econometrics and Empirical Economics (ICEEE 2013) January 16-18, 2013 -Genova, Italy

    E-Print Network [OSTI]

    Robbiano, Lorenzo

    Fifth Italian Congress of Econometrics and Empirical Economics (ICEEE 2013) January 16-18, 2013 Econometria (SIdE, anche Italian Econometric Association). Oggi in particolare si vive un tempo di diffusa

  9. Econometrics of Models with Strategic Interaction Presenter: Elie Tamer (Northwestern) Fee: HE delegates: 90; other delegates: 720

    E-Print Network [OSTI]

    Saunders, Mark

    Econometrics of Models with Strategic Interaction Presenter: Elie Tamer (Northwestern) Fee: HE of the econometrics questions that arise when analyzing models with multiple decision makers interacting a set of econometric theorists, applied economists and economic theorists that will share their views

  10. Towards an Agent-Based Foundation of Financial Econometrics: An Approach Based on Genetic-Programming Arti cial Markets

    E-Print Network [OSTI]

    Fernandez, Thomas

    Towards an Agent-Based Foundation of Financial Econometrics: An Approach Based on Genetic-mail: g7258502@grad.cc.nccu.edu.tw Taipei, Taiwan 11623 Abstract Using a few nonlinear econometric tools econometrics. In partic- ular, the time series generated by the GP- based arti#12;cial markets are consistent

  11. Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings Indices in the Romanian Industry

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings and models that were used consist of several lag econometric models, ARIMA processes, as well as feed forward AGEI and LPI. Key-Words: - labor productivity, econometric model, ARIMA, VAR, neural network, forecast

  12. Advanced Econometrics (26:223:655:01) Spring 2003 Meets Wednesdays, 1-3:50 PM, Global Financial Management Center

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Econometrics (26:223:655:01) Spring 2003 Meets Wednesdays, 1-3:50 PM, Global Financial of the material covered in Econometrics (26:223:554). The purpose of this course is to develop advanced econometric estimation and hypothesis testing tools to analyze and interpret the empirical relevance

  13. FISCAL FORESIGHT: ANALYTICS AND ECONOMETRICS ERIC M. LEEPER, TODD B. WALKER, AND SHU-CHUN SUSAN YANG

    E-Print Network [OSTI]

    Hickman, Mark

    FISCAL FORESIGHT: ANALYTICS AND ECONOMETRICS ERIC M. LEEPER, TODD B. WALKER, AND SHU-CHUN SUSAN policy process. This paper develops an analytical framework to study the econometric implications from statistical innovations in conventional ways. Econometric analyses that fail to align agents

  14. 1 INTRODUCTION An application of the finite element method (FEM) for non-linear elastoplastic analysis of rein-

    E-Print Network [OSTI]

    Zornberg, Jorge G.

    1391 1 INTRODUCTION An application of the finite element method (FEM) for non-linear elastoplastic, 2003; Oliveira, 2006). 2 FINITE ELEMENT REPRESENTATION OF REINFORCED SOIL A discrete representation, the reinforcement and the soil-reinforcement interface-- can be represented using a specific finite element with its

  15. MATH 590: Meshfree Methods Chapter 1: Introduction, Scattered Data Interpolation in Rs and

    E-Print Network [OSTI]

    Fasshauer, Greg

    graphics, optics, artificial intelligence, statistical learning theory, neural networks, signal and image 590 ­ Chapter 1 8 #12;Introduction Energy renewable energy sector study of single wind turbines data modeling, e.g., fitting of potential energy surfaces in chemistry solution of partial differential

  16. Introduction to Experimental Biophysics: Biological Methods for Physical Jennifer L. Ross

    E-Print Network [OSTI]

    Ross, Jennifer

    , Wiley, 1987); David Chan- dler's Introduction to Modern Statistical Mechanics (Oxford University Press, 1987); and Mehran Kardar's Statistical Physics of Particles and Statistical Physics of Fields (both for Physical Scientists Jay Nadeau CRC Press, Boca Raton, FL, 2012. $89.95 (641 pp.). ISBN 978

  17. Essays on exponential series estimation and application of copulas in financial econometrics

    E-Print Network [OSTI]

    Chui, Chin Man

    2009-05-15T23:59:59.000Z

    This dissertation contains three essays. They are related to the exponential series estimation of copulas and the application of parametric copulas in financial econometrics. Chapter II proposes a multivariate exponential series estimator (ESE...

  18. A comparison of structural and non-structural econometric models in the Toronto office market

    E-Print Network [OSTI]

    Gole, Kimberly

    2014-01-01T23:59:59.000Z

    This thesis aims to compare five systems of econometric equations to describe the Toronto office market. It compares four structural systems differing in their demand equations and a non-structural system that does not ...

  19. Stat 509/CSSS 509/Econ 580: Intro to Mathematical Statistics: Econometrics This is a FLUID syllabus, so check frequently for changes in colors

    E-Print Network [OSTI]

    Marzban, Caren

    Stat 509/CSSS 509/Econ 580: Intro to Mathematical Statistics: Econometrics This is a FLUID syllabus things change. Look for colors . Text: A Course in Econometrics, by Arthur S. Goldberger. Probability

  20. System and method for introduction and stabilization of genes in Thermus sp.

    DOE Patents [OSTI]

    Kayser, Kevin J.; Park, Ho-Shin; Kilbane, II, John J.

    2005-03-01T23:59:59.000Z

    A method for introducing and stabilizing heterologous and recombinant genes in a thermophilic host in which a characteristic gene defining a detectable host characteristic is inactivated or deleted from the thermophilic host, resulting in a modified thermophilic host expressing an absence of the detectable host characteristic. A DNA fragment of interest is inserted into the modified thermophilic host together with an intact characteristic gene, whereby the detectable host characteristic is restored to the thermophilic host, thereby enabling detection and confirmation of successful transformation using plasmid vectors and integration of the DNA fragment into the chromosome of the thermophilic host.

  1. Advanced statistical methods for eye movement analysis and modeling: a gentle introduction

    E-Print Network [OSTI]

    Boccignone, Giuseppe

    2015-01-01T23:59:59.000Z

    In this Chapter we show that by considering eye movements, and in particular, the resulting sequence of gaze shifts, a stochastic process, a wide variety of tools become available for analyses and modelling beyond conventional statistical methods. Such tools encompass random walk analyses and more complex techniques borrowed from the pattern recognition and machine learning fields. After a brief, though critical, probabilistic tour of current computational models of eye movements and visual attention, we lay down the basis for gaze shift pattern analysis. To this end, the concepts of Markov Processes, the Wiener process and related random walks within the Gaussian framework of the Central Limit Theorem will be introduced. Then, we will deliberately violate fundamental assumptions of the Central Limit Theorem to elicit a larger perspective, rooted in statistical physics, for analysing and modelling eye movements in terms of anomalous, non-Gaussian, random walks and modern foraging theory. Eventually, by resort...

  2. Advanced Econometrics (26:223:655:01) Fall 2010 Class meets Thursday 11:30-2:20 PM, 1 Washington Park 358

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Econometrics (26:223:655:01) Fall 2010 Class meets Thursday 11:30-2:20 PM, 1 Washington://www.rci.rutgers.edu/~rpatrick/hp.html This course is a continuation and generalization of the material covered in Econometrics (26:223:554). The purpose of this course is to develop advanced econometric estimation and hypothesis testing tools

  3. Advanced Econometrics (26:223:655:01) Fall 2009 Class meets Thursday 1:00-3:40 PM, 1 Washington Park 202

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Econometrics (26:223:655:01) Fall 2009 Class meets Thursday 1:00-3:40 PM, 1 Washington://www.rci.rutgers.edu/~rpatrick/hp.html This course is a continuation and generalization of the material covered in Econometrics (26:223:554). The purpose of this course is to develop advanced econometric estimation and hypothesis testing tools

  4. Advanced Econometrics (26:223:655:01) Spring 2008 Meets Tuesdays, 2:30-5:20 PM, GFMC (Ackerson Hall 106)

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Econometrics (26:223:655:01) Spring 2008 Meets Tuesdays, 2:30-5:20 PM, GFMC (Ackerson Hall and generalization of the material covered in Econometrics (26:223:554). The purpose of this course is to develop advanced econometric estimation and hypothesis testing tools to analyze and interpret the empirical

  5. Introduction Introduction Section 1

    E-Print Network [OSTI]

    of many people. These people share a love for the Deschutes, though they value the river in many different. The voices of many of people throughout the Deschutes subbasin were heard during the subbasin planningIntroduction Introduction Section 1 Now as in the past, The Deschutes River binds the people

  6. Introduction Materials and Methods

    E-Print Network [OSTI]

    Lebendiker, Mario

    quantities of rAd and scale the process from bench to production. Mustang Q membrane is such a chromatography cells by pelleting and resuspending the pellet in PBS. Lyse host cells by three freeze- thaw cycles a single Acrodisc filter depending on the effectiveness of the pelleting procedure. At this stage

  7. A Spatial Econometric Approach to Measuring Pollution Externalities: An Application to Ozone Smog

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    to analyze air pollution externalities. State-by-state source-receptor transfer coefficients that can be used of the six cri- teria pollutants for which National Ambient Air Quali- ty Standards have been establishedA Spatial Econometric Approach to Measuring Pollution Externalities: An Application to Ozone Smog C

  8. Ghost in the shell : econometric forecast of Singapore's office market and where is architect in financial time

    E-Print Network [OSTI]

    Sun, Aoran Alex

    2012-01-01T23:59:59.000Z

    Inspired by Singapore's recent effort in building its new skyline in Maria Bay, the thesis intends to employ econometric structural modeling techniques to Singapore's office market for the period from 1975 to 2011. Using ...

  9. The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics

    E-Print Network [OSTI]

    Angrist, Joshua

    2010-01-01T23:59:59.000Z

    Just over a quarter century ago, Edward Leamer (1983) reflected on the state of empirical work in economics. He urged empirical researchers to “take the con out of econometrics” and memorably observed (p. 37): “Hardly ...

  10. Forecasting the monthly volume of orders for southern pine lumber - an econometric model

    E-Print Network [OSTI]

    Jackson, Ben Douglas

    1973-01-01T23:59:59.000Z

    the orders estimates should be minimal, and the benefits of forecasting should exceed the costs. Included in this matter of convenience is the mathematical simplicity of the computations and their evaluation. With these essential characteristics in mind... FORECASTING THE MONTHLY VOLUME OF ORDERS FOR SOUTHERN PINE LUMBER - AH ECONOMETRIC MODEL A Thesis by BEN DOUGLAS JACKSON Submitted to the Graduate College of Texas ASM University in Partial fulfillment of the requirement for the degree...

  11. Econometrics (26:223:554:01) Spring 2012 Thursdays, 10:00 AM-12:50 P.M., 1 Washington Park 512, Newark Campus

    E-Print Network [OSTI]

    Lin, Xiaodong

    Econometrics (26:223:554:01) Spring 2012 Thursdays, 10:00 AM-12:50 P.M., 1 Washington Park 512://www.rci.rutgers.edu/~rpatrick/hp.html This is the first of two required econometrics courses for Ph.D. students in Finance and Economics. The purpose of this course is to develop basic econometric estimation and hypothesis testing tools necessary to analyze

  12. Econometrics (26:223:554:01) Spring 2013 Thursdays, 10:00 AM-12:50 P.M., 1 Washington Park 512, Newark Campus

    E-Print Network [OSTI]

    Econometrics (26:223:554:01) Spring 2013 Thursdays, 10:00 AM-12:50 P.M., 1 Washington Park 512://www.rci.rutgers.edu/~rpatrick/hp.html This is the first of two required econometrics courses for Ph.D. students in Finance and Economics. The purpose of this course is to develop basic econometric estimation and hypothesis testing tools necessary to analyze

  13. Econometrics (26:223:554:01) Spring 2011 Thursdays, 10:00 AM-12:50 P.M., 1 Washington Park 512, Newark

    E-Print Network [OSTI]

    Lin, Xiaodong

    Econometrics (26:223:554:01) Spring 2011 Thursdays, 10:00 AM-12:50 P.M., 1 Washington Park 512://www.rci.rutgers.edu/~rpatrick/hp.html This is the first of two required econometrics courses for Ph.D. students in Finance and Economics. The purpose of this course is to develop basic econometric estimation and hypothesis testing tools necessary to analyze

  14. Introduction Complexity &

    E-Print Network [OSTI]

    Bonet, Blai

    Introduction Basics Complexity & Expressivity Analysis Techniques Special Classes of Nets Conclusion Petri Nets (for Planners) B. Bonet, P. Haslum ... from various places ... ICAPS 2011 #12;Introduction Basics Complexity & Expressivity Analysis Techniques Special Classes of Nets Conclusion

  15. Introduction Theory of CAMNS

    E-Print Network [OSTI]

    Zhang, Shuzhong

    Introduction Theory of CAMNS Practical realization of CAMNS Simulation results & Conclusions Blind Separation of Non-negative Sources using Convex Analysis: Theory and Methods Wing-Kin (Ken) Ma Dept Blind Separation of Non-negative Sources using Convex Analysis: Theory and #12;Introduction Theory

  16. Here at eXelate, we are looking to hire a data scientist to work with us in digital advertising technology. We are looking for someone comfortable at the intersection of computer science and statistics / econometrics to work on machine learning problems a

    E-Print Network [OSTI]

    / econometrics to work on machine learning problems at massive scale and help us build our analytics

  17. Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches

    E-Print Network [OSTI]

    Collart Dinarte, Alba Jeanette

    2013-11-22T23:59:59.000Z

    Education High School 11.7 13.2 9.8 46.0 College 65.4 65.3 66.9 45.5 Graduate School 23.0 21.5 23.3 8.5 Age Less than 39 35.2 31.3 31.3 59.0 40-55 31.6 34.0 32.8 20.4 More than 55 33.2 34.7 35.8 20.6 Income Under $25,000 15.8 18.6 16.4 24....8 $25,000-$50,000 30.1 29.0 28.4 25.4 $50,001-$75,000 20.8 14.5 17.9 18.2 $75,001-$99,999 13.5 14.5 14.9 11.8 $100,000-& above 19.7 20.0 22.4 19.8 aSource: U.S. Census Bureau 2010, American Community Survey 2006-2010. Note: n indicates sample...

  18. Development and introduction of methods for extracting hydrogen sulfide and hydrogen cyanide from coke-oven gas

    SciTech Connect (OSTI)

    Litvinenko, M.S.; Zaichenko, V.M.

    1980-01-01T23:59:59.000Z

    The progress between 1933 and the present in desulfurizing coal gas from coke ovens and making use of the by-products to produce sulfuric acid, thioyanates, etc. is described. The vacuum carbonate process and the monoethanolamine method are apparently now preferred, but some plants are still using modified arsenic-soda processes. More recently additional by-products have been thiocyanates (for producing acrylonitrile fiber) and hydrogen xanthanates. The production of other organic sulfur and cyanide compounds has been investigated for use as herbicides, corrosion inhibitors, etc. (LTN)

  19. Introduction Preparation

    E-Print Network [OSTI]

    Introduction Motivation Preparation Notos' Components Results Conclusions and Future Work Building Problem Description and Motivation Preparation Notation, Passive DNS trends and Anchor Classes Notos Reputation Results Conclusions and Future Work Special thanks to: Damballa Passive DNS data, Malware and BL

  20. Cyberspace Security Econometrics System (CSES) - U.S. Copyright TXu 1-901-039

    SciTech Connect (OSTI)

    Abercrombie, Robert K [ORNL] [ORNL; Schlicher, Bob G [ORNL] [ORNL; Sheldon, Frederick T [ORNL] [ORNL; Lantz, Margaret W [ORNL] [ORNL; Hauser, Katie R [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    Information security continues to evolve in response to disruptive changes with a persistent focus on information-centric controls and a healthy debate about balancing endpoint and network protection, with a goal of improved enterprise/business risk management. Economic uncertainty, intensively collaborative styles of work, virtualization, increased outsourcing and ongoing compliance pressures require careful consideration and adaptation. The Cyberspace Security Econometrics System (CSES) provides a measure (i.e., a quantitative indication) of reliability, performance, and/or safety of a system that accounts for the criticality of each requirement as a function of one or more stakeholders interests in that requirement. For a given stakeholder, CSES accounts for the variance that may exist among the stakes one attaches to meeting each requirement. The basis, objectives and capabilities for the CSES including inputs/outputs as well as the structural and mathematical underpinnings contained in this copyright.

  1. Agriculture INTRODUCTION

    E-Print Network [OSTI]

    Sohoni, Milind

    1 Agriculture INTRODUCTION 1.1 Although its share in Gross Domestic Product (GDP) has declined from over half at Independence to less than one-fifth currently, agriculture remains the predominant sector in it as the principal occupation. Agriculture still contributes significantly to export earnings and is an important

  2. Introduction Engineering

    E-Print Network [OSTI]

    Banbara, Mutsunori

    Environmental Engineering A study to create a social living space rich in amenity, convenience, and harmony with environment. Civil Engineering Engineering of Human Safety Engineering of Environmental Symbiosis A study34 Introduction Guide Entrance Life Career Inquiries Engineering Graduate School/ Faculty

  3. Introduction Verification

    E-Print Network [OSTI]

    Kuhn, Matthew R.

    Introduction Model Verification Entropy model for granular materials at the critical state Matthew at the critical state. 2D materials only. Biaxial loading conditions. Six contact quantities Objective: Contact forces, movements, and orientations at the critical state. 2D materials only. Biaxial loading

  4. The impact of news on monetary policy expectations

    E-Print Network [OSTI]

    Bauer, Michael Dominic

    2010-01-01T23:59:59.000Z

    2.3.1 Econometric methodology . . . . . . . . . . . . .and F. Pegoraro, “Econometric Asset Price Modelling,”Methods in Econometrics,” Econometric Theory, Aug 1996, 12 (

  5. Thailand's natural rubber economy in an international setting: an econometric investigation

    SciTech Connect (OSTI)

    Suwanakul, S.

    1986-01-01T23:59:59.000Z

    The Thai natural rubber economy is described in the context of the world rubber market. An econometric model is estimated for 15 structural equations; it includes the Thai, US, and rest-of-the-world rubber economies. Several simulation experiments are analyzed for the period from 1984 to 1995. Impact and dynamic multipliers are reported for major endogenous variables in response to changes in US GDP, world crude oil price, Thai replanting cess tax and Thai natural rubber production. A 1%, one-time increase in the US GDP has a positive effect on the Singapore natural rubber price. A world crude oil price decline shock has a negative effect in both the short-run and the long-run. The INRO buffer stock stabilization policy as well as alternative domestic Thai policies of market intervention are analyzed. The simulation results show that buffer stock management which allows a price band of +/-20% around the price target has the most stabilized price, compared to other band widths and no stock management. The outcome of the increase of the Thai replanting cess tax raises not only cess tax revenue, but also producer and export earning. Results showed that a decrease in rubber production positively affected producer and export earnings in the long-run.

  6. An Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta FeAuthorization| DepartmentIntroduction to

  7. Introduction There

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12Approvedof Energy Interim ReportComplexIntroduction There

  8. 1 Introduction

    E-Print Network [OSTI]

    2011-07-10T23:59:59.000Z

    Jul 8, 2011 ... methods based on the nuclear norm minimization are extensively ... the nuclear norm has a drastic derivation from the rank function since the ...

  9. Essays on microeconomics and statistical decision making

    E-Print Network [OSTI]

    Nieto Barthaburu, Augusto

    2006-01-01T23:59:59.000Z

    An Introduction to Econometric Theory. Princeton Universityand S. Low (1989): An Econometric Analysis of the Bankextensive statistical and econometric literature concerned

  10. Macro-econometric model of the Nigerian economy: a simulated analysis of oil shocks in a development context

    SciTech Connect (OSTI)

    Usip, E.E.E.

    1984-01-01T23:59:59.000Z

    The precarious position of Nigeria in being a one-resource (oil) based economy in terms of revenue generation has become a major cause of concern for the experts and political pundits. In this study, the author seeks to explore further the empirical basis for this concern in two stages. First, a macro-econometric model of Nigeria was constructed and evaluated. The model highlights the various channels through which the oil sector influences the rest of the economy. Economic theory, econometric techniques, existing fund of knowledge in the practice, computer simulation, and the institutional framework of Nigeria were brought to bear upon the modeling process. In the second stage, the resulting simulation model was used to examine the sensitivity of the economy to the leading sector (oil) as well as the growth potential of Nigeria up to 1986. The crucial question that was addressed is: will the oil sector be able to support a continuing economic growth of Nigeria in the absence of policy initiatives to diversify the revenue base of the economy. Although the empirical findings are hypothetical, they do have far-reaching implications for Nigeria's growth prospects and political stability.

  11. Introduction to Energy Systems Planning 1 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    these two systems is 1 "Soft" infrastructures refersto institutionalinfrastructure required to maintain1 Introduction to Energy Systems Planning 1 Introduction We will do the following in these introductory notes. Distinguish infrastructure systems, energy systems, and power systems Define "planning

  12. Introduction & Scope Model & Calibration

    E-Print Network [OSTI]

    Kuhn, Matthew R.

    Introduction & Scope Principles Model & Calibration Applications Granular Fabric and Stress / papers / ASME07.pdf LATEX #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- November 12, 2007 http

  13. Introduction Some quantitative analysis

    E-Print Network [OSTI]

    Maume-Deschamps, Véronique

    Introduction Some quantitative analysis Simulations Conclusion, further work Risk indicators Simulations Conclusion, further work Plan 1 Introduction Context Risk indicators 2 Some quantitative analysis;Introduction Some quantitative analysis Simulations Conclusion, further work Context Risk indicators

  14. Introduction Linear Dynamics

    E-Print Network [OSTI]

    Zeghib, Abdelghani

    Introduction Results Linear Dynamics Lorentz Dynamics Actions of discrete groups on stationary Piccione) Geodeycos Meeting, Lyon, 28-30 April 2010 Abdelghani Zeghib Dynamics on Lorentz manifolds #12;Introduction Results Linear Dynamics Lorentz Dynamics Motivations and questions Examples 1 Introduction

  15. university-logo Introduction

    E-Print Network [OSTI]

    Johnson, Raymond L.

    university-logo Introduction Spatial Prediction Bayesian Spatial Prediction: BTG Benjamin Kedem Prediction: BTG #12;university-logo Introduction Spatial Prediction Stationary isotropic Gaussian random Kriging BTG Benjamin Kedem Bayesian Spatial Prediction: BTG #12;university-logo Introduction Spatial

  16. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    E-Print Network [OSTI]

    Borwein, Jonathan

    Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Notation

  17. Introduction Clays and health: An introduction

    E-Print Network [OSTI]

    Ahmad, Sajjad

    Introduction Clays and health: An introduction "Clays are the materials for ceramics production" is the general idea of people about clays. However, clay minerals are not only the "most abundant components. Hundreds of uses reveal the utility of clays in very different fields (Odom, 1984; Jepson, 1984; Murray

  18. An Introduction to R 1 Introduction 1

    E-Print Network [OSTI]

    Jordan, Jonathan

    · a language for expressing statistical models and tools for using linear and non-linear statistical models on the campus network On University Managed Desktop machines R is available under the Statistics applicationsAn Introduction to R Contents 1 Introduction 1 1.1 What is R

  19. Introduction and Motivation Forward Modeling

    E-Print Network [OSTI]

    Farquharson, Colin G.

    Introduction and Motivation Forward Modeling Structured Vs. Unstructured Grids Purpose: z xy to be Discretized: Finite-Element method: 1 2 3S3 1 4 The System of Equations Solved: Verifications and Examples 1 - Controlled-source Electromagnetics (CSEM): 1 - 1 Horizontal Electric Dipole source

  20. Introduction Systems Engineering Fundamentals ENGINEERING

    E-Print Network [OSTI]

    Rhoads, James

    Introduction Systems Engineering Fundamentals i SYSTEMS ENGINEERING FUNDAMENTALS January 2001;Systems Engineering Fundamentals Introduction ii #12;Introduction Systems Engineering Fundamentals iii ............................................................................................................................................. iv PART 1. INTRODUCTION Chapter 1. Introduction to Systems Engineering Management

  1. Introduction Subsumption Architecture

    E-Print Network [OSTI]

    Leeds, University of

    Introduction Subsumption Architecture Metabolic Architecture Comparison Conclusions A metabolic subsumption architecture for cooperative control of the e-puck Verena Fischer and Simon Hickinbotham Verena Verena Fischer and Simon Hickinbotham A metabolic subsumption architecture 1 #12;Introduction Subsumption

  2. Introduction to Dynamic Distributed

    E-Print Network [OSTI]

    Roma "La Sapienza", Universitŕ di

    Introduction to Dynamic Distributed SystemsSystems #12;Outline Introduction Churn Building Applications in Dynamic Distributed Systems RegistersRegisters Eventual Leader election Connectivity in Dynamic Distributed Systems #12;Dynamic Distributed Systems: Context & Motivations Advent of Complex Distributed

  3. Introduction to Neutrino Physics

    SciTech Connect (OSTI)

    Linares, Edgar Casimiro [Division de Ciencias e Ingenierias Campus Leon, Loma del Bosque 103 Col. Lomas del Campestre, C.P. 37150 Leon (Mexico) and Centro de Investigaciones Energeticas Medioambientales y Tecnologicas, Av. Complutense, 22, C.P. 28040, Madrid (Spain)

    2009-04-30T23:59:59.000Z

    I present a basic introduction to the physics of the neutrino, with emphasis on experimental results and developments.

  4. Social Dynamics Introduction

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    Social Dynamics Introduction Part I: Correlation and the Social Contract Introduction to part I 1: University of Utah Press. 47-69. Part II: Importance of Dynamics Introduction to part II 1. Trust, Risk Significance of Some Simple Evolutionary Models (2000) Philosophy of Science 67: 94-113. 4. Dynamics

  5. Introduction & Scope Model & Calibration

    E-Print Network [OSTI]

    Kuhn, Matthew R.

    Introduction & Scope Principles Model & Calibration Applications Bulk Evolution of Fabric.up.edu / kuhn / papers / EMD2007.pdf LATE #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- June 4, 2007 http

  6. Introduction to Information Theory

    E-Print Network [OSTI]

    Belohlavek, Radim

    Introduction to Information Theory and Its Applications Radim Belohl´avek Dept. Computer Science providing introduction to Information Theory. Radim Belohl´avek, Introduction to Information Theory and Its Applications 1 #12;Information Theory: What and Why · information: one of key terms in our society

  7. university-logo Introduction

    E-Print Network [OSTI]

    De Saporta, Benoîte

    university-logo Introduction Our Model Optimal Portfolio Allocation Comparisons of Strategies, February 2006 Benoîte de Saporta Technical Analysis vs Mathematical Models #12;university-logo Introduction Saporta Technical Analysis vs Mathematical Models #12;university-logo Introduction Our Model Optimal

  8. Introduction Minimal Fusion Systems

    E-Print Network [OSTI]

    Thévenaz, Jacques

    Introduction Minimal Fusion Systems Maximal Parabolics Results Minimal Fusion Systems Ellen Henke University of Birmingham Ellen Henke Minimal Fusion Systems #12;Introduction Minimal Fusion Systems Maximal Parabolics Results Contents 1 Introduction 2 Minimal Fusion Systems 3 Maximal Parabolics 4 Results Ellen

  9. Introduction of a method for presenting health-based impacts of the emission from products, based on emission measurements of materials used in manufacturing of the products

    SciTech Connect (OSTI)

    Jřrgensen, Rikke Bramming, E-mail: rikke.jorgensen@iot.ntnu.no

    2013-11-15T23:59:59.000Z

    A method for presenting the health impact of emissions from furniture is introduced, which could be used in the context of environmental product declarations. The health impact is described by the negative indoor air quality potential, the carcinogenic potential, the mutagenic and reprotoxic potential, the allergenic potential, and the toxicological potential. An experimental study of emissions from four pieces of furniture is performed by testing both the materials used for production of the furniture and the complete piece of furniture, in order to compare the results gained by adding emissions of material with results gained from testing the finished piece of furniture. Calculating the emission from a product based on the emission from materials used in the manufacture of the product is a new idea. The relation between calculated results and measured results from the same products differ between the four pieces of furniture tested. Large differences between measured and calculated values are seen for leather products. More knowledge is needed to understand why these differences arise. Testing materials allows us to compare different suppliers of the same material. Four different foams and three different timber materials are tested, and the results vary between materials of the same type. If the manufacturer possesses this type of knowledge of the materials from the subcontractors it could be used as a selection criterion according to production of low emission products. -- Highlights: • A method for presenting health impact of emissions is introduced. • An experimental study of emissions from four pieces of furniture is performed. • Health impact is calculated based on sum of contribution from the materials used. • Calculated health impact is compared to health impact of the manufactured product. • The results show that health impact could be useful in product development and for presentation in EPDs.

  10. An Econometric Analysis of the Elasticity of Vehicle Travel with Respect to Fuel Cost per Mile Using RTEC Survey Data

    SciTech Connect (OSTI)

    Greene, D.L.; Kahn, J.; Gibson, R.

    1999-03-01T23:59:59.000Z

    This paper presents the results of econometric estimation of the ''rebound effect'' for household vehicle travel in the United States based on a comprehensive analysis of survey data collected by the U.S. Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect is defined as the percent change in vehicle travel for a percent change in fuel economy. It summarizes the tendency to ''take back'' potential energy savings due to fuel economy improvements in the form of increased vehicle travel. Separate vehicles use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results are consistent with the consensus of recently published estimates based on national or state-level data, which show a long-run rebound effect of about +0.2 (a ten percent increase in fuel economy, all else equal, would produce roughly a two percent increase in vehicle travel and an eight percent reduction in fuel use). The hypothesis that vehicle travel responds equally to changes in fuel cost-per-mile whether caused by changes in fuel economy or fuel price per gallon could not be rejected. Recognizing the interdependency in survey data among miles of travel, fuel economy and price paid for fuel for a particular vehicle turns out to be crucial to obtaining meaningful results.

  11. The Econometric Analysis of Interval-valued Data and Adaptive Regression Splines

    E-Print Network [OSTI]

    Lin, Wei

    2013-01-01T23:59:59.000Z

    to semiparametric GARCH-in-Mean models. ” University ofWe estimate the following GARCH(1,1) model y ct = µ c + ?Method CCRM CRM TS MTS GARCH-N (99%) GARCH-N (99.5%) GARCH-

  12. The general equilibrium of tax and expenditure limits

    E-Print Network [OSTI]

    Moule, Ellen Concetta

    2010-01-01T23:59:59.000Z

    Wooldridge, Jeffery M. 2002. Econometric Analysis of CrossCausal Relations by Econometric Methods and Cross-Spectralthe most widely used econometric technique for observational

  13. Connecting models to the real world : game theory in action

    E-Print Network [OSTI]

    Alexandrova, Anna

    2006-01-01T23:59:59.000Z

    and Inference in Econometric Models: Festschrift in Honor ofthat involve econometric testing and experimentation. Casualand methods of statistical and econometric analysis, and the

  14. Introduction to Options

    E-Print Network [OSTI]

    Mintert, James R.; Welch, Mark

    2009-01-07T23:59:59.000Z

    Options give the agricultural industry a flexible pricing tool to assist in price risk managment. This publication defines an option and gives a brief introduction to this tool....

  15. QCD Evolution Workshop: Introduction

    E-Print Network [OSTI]

    Alexei Prokudin

    2012-10-15T23:59:59.000Z

    The introduction talk given at the beginning of QCD Evolution workshop held in Thomas Jefferson National Accelerator Facility (Jefferson Lab) on May 14 -17, 2012.

  16. INTRODUCTION TO GENOMIC MEDICINE

    E-Print Network [OSTI]

    INTRODUCTION TO GENOMIC MEDICINE Genomics play a role in 21st century research and clinical related to genomic medicine. Tentative Schedule: WHEN: WHERE: WHO CAN ATTEND? INTRODUCTION January 31 Implications of Genomics in Clinical Medicine February 7 Molecular Biology/Genetics Refresher - 1 February 14

  17. Introduction Rolling and Friction

    E-Print Network [OSTI]

    Kuhn, Matthew R.

    Introduction Kinematics Solutions Rolling and Friction in Discrete Element Simulations Matthew R of rolling resistance Creep-friction definition Creep-friction vs. Cattaneo-Mindlin friction Classification / papers / EMI2011.pdf #12;Introduction Kinematics Solutions Classification of rolling resistance Creep-friction

  18. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  19. Grains, Water Introduction

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    Grains, Water & Wet Sand Onno Bokhove Introduction Dry Granular Chute Flows: Cantilever Water Waves: Bores Near the Shore Surf Induced Sand Dynamics Discussion Dry Granular Flows, Water Waves & Surf, Water & Wet Sand Onno Bokhove Introduction Dry Granular Chute Flows: Cantilever Water Waves: Bores Near

  20. Introduction 1-Safe Petri

    E-Print Network [OSTI]

    Bonet, Blai

    Introduction 1-Safe Petri Nets: Basic Definitions Unfolding Planning via Unfolding & Concurrency General Petri Nets Conclusion Petri Nets (for Planners) B. Bonet, P. Haslum, S. Hickmott, S. Thi´ebaux, S. Edelkamp ... from various places ... ICAPS 2009 #12;Introduction 1-Safe Petri Nets: Basic Definitions

  1. Introduction Basic dynamics

    E-Print Network [OSTI]

    LaCasce, Joseph H.

    Introduction Basic dynamics The Gulf Stream The thermohaline circulation Ocean currents: some misconceptions and some dynamics Joe LaCasce Dept. Geosciences October 30, 2012 Joe LaCasce Dept. Geosciences Ocean currents: some misconceptions and some dynamics #12;Introduction Basic dynamics The Gulf Stream

  2. institution-logo Introduction

    E-Print Network [OSTI]

    Langerhans, Brian

    institution-logo Introduction Model Selection Experimental Design Bacteremia Summary Experimental in Validating Models of Infectious Diseases #12;institution-logo Introduction Model Selection Experimental Summary D. M. Bortz Experimental Design in Validating Models of Infectious Diseases #12;institution-logo

  3. A DISTRIBUTED, SCALEABLE SIMPLEX METHOD 1. Introduction ...

    E-Print Network [OSTI]

    Stephen Wright

    2005-08-31T23:59:59.000Z

    We present a simple, scaleable, distributed simplex implementation for large ... Scalability is achieved by using the standard form of the simplex rather than the ...

  4. Math 750 -Introduction Outline of Fourier's method

    E-Print Network [OSTI]

    Sharpley, Robert

    for differentiation of integrals and for convenience have assumed that and are constant. #12;Heat Balance. We equate that heat is governed by a partial differential equation on a domain D u t = u (1) and satisfies is called the thermal conductivity and depends upon the material properties of the body D. For convenience

  5. Introduction to mathematical models and methods

    SciTech Connect (OSTI)

    Siddiqi, A. H.; Manchanda, P. [Gautam Budha University, Gautam Budh Nagar-201310 (India); Department of Mathematics, Guru Nanak Dev University, Amritsar (India)

    2012-07-17T23:59:59.000Z

    Some well known mathematical models in the form of partial differential equations representing real world systems are introduced along with fundamental concepts of Image Processing. Notions such as seismic texture, seismic attributes, core data, well logging, seismic tomography and reservoirs simulation are discussed.

  6. Introduction Discrete Particle Method(DPM)

    E-Print Network [OSTI]

    van der Torre, Leon

    belts), stockpile construction and discharge, biomass combustion, etc. Solid fuel particles share particles Un like the continuum mechanics approach (e.g. CFD), it considers each particles as an individual

  7. Introduction to Bayesian methods in macromolecular crystallography |

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronicCurves | SciTech Connect Journal Article:SciTechSciTech Connect

  8. Method and apparatus for transport, introduction, atomization and excitation of emission spectrum for quantitative analysis of high temperature gas sample streams containing vapor and particulates without degradation of sample stream temperature

    DOE Patents [OSTI]

    Eckels, David E. (Ankeny, IA); Hass, William J. (Ames, IA)

    1989-05-30T23:59:59.000Z

    A sample transport, sample introduction, and flame excitation system for spectrometric analysis of high temperature gas streams which eliminates degradation of the sample stream by condensation losses.

  9. Introduction to Network Science 1 Introduction to Network Science

    E-Print Network [OSTI]

    Safro, Ilya

    of nuclear power plant Actors, Reactors and More #12;Introduction to Network Science 12 #12;Introduction A 80 B 60 C 0 F #12;Introduction to Network Science 2 Recommended Books (optional) #12;Introduction to Network Science 3 Recommended Books (optional) #12;Introduction to Network Science 4 facebook #12

  10. 581.ps.gz

    E-Print Network [OSTI]

    output from financial (econometric) models, possibly combined with ... We use econometric methods to quantify uncertainty in, and empirical plausibility of.

  11. Introduction to Changemaking

    E-Print Network [OSTI]

    Zhang, Junshan

    Impact Careers awareness ·Courses ·10,000 solutions advocacy ·Valley of the Sun United Way ·StudentIntroduction to Changemaking at Arizona State University #12;what you why do you do do? #12;ASU

  12. Introduction Semantic Web

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    Introduction Semantic Web Ontologies Linked Data Information Sources Information Extraction Web Application Use Cases Knowledge Bases Entity Linking Entity Retrieval Linked Data Quality Conclusions Papers for Presentations Resources Semantic Web: Extracting and Mining Structured Data from

  13. TUchem Documentation Introduction

    E-Print Network [OSTI]

    Wolfgang, Paul

    TUchem Documentation Introduction TUchem is an automated chemical inventory database system design, such as inventory import, report generation, location management, and a user-friendly look-and-feel. The motivation

  14. Distributed DBMS Introduction

    E-Print Network [OSTI]

    Chen, Yangjun

    Distributed DBMS Outline Introduction What is a distributed DBMS Problems Current state-of-affairs Background Distributed DBMS Architecture Distributed Database Design Semantic Data Control Distributed Query Processing Distributed Transaction Management Parallel Database Systems Distributed Object DBMS

  15. DISTRIBUTED DATABASES INTRODUCTION

    E-Print Network [OSTI]

    Liu, Chengfei

    D DISTRIBUTED DATABASES INTRODUCTION The development of network and data communication tech- nology distributed database management. Naturally, the decen- tralized approach reflects the distributed aspects in the definition of a distributed database exist. First, a distributed database is distributed

  16. Distributed DBMS I Introduction

    E-Print Network [OSTI]

    Chen, Yangjun

    Distributed DBMS Outline I Introduction I Background I Distributed DBMS Architecture I Distributed Data server approach Parallel architectures Parallel DBMS techniques Parallel execution models Parallel Database Systems Distributed Object DBMS Database Interoperability Concluding Remarks #12

  17. D. M. Mills* Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    110 Apr il 11, 1 988 Feasibility Study into the Use of Mechanical Choppers to Alter the Natural Time Structure of the APS D. M. Mills* Introduction The prospect of extending...

  18. Introduction Model Fitting

    E-Print Network [OSTI]

    Albert, Réka

    susceptibility to disease is homogenous across the network degree distribution is roughly symmetric much the network highly skewed distribution of contacts (follows a discretized Weibull distribution) most nodesIntroduction ERGM Model Fitting Simulation References Using social network characteristics

  19. Video Stores: Introduction

    E-Print Network [OSTI]

    Scheible, Jeff; Neves, Joshua

    2010-01-01T23:59:59.000Z

    Journal, and a former video manager of Kim's Mediapolis inMEDIA FELDS J O U R N A L Video Stores Introduction Jeffa specific media space: the video rental store. We were

  20. The Multi-Stage Investment Timing Game in Offshore Petroleum Production: Preliminary results from an econometric model

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    2007-01-01T23:59:59.000Z

    Game in O?shore Petroleum Production: Preliminary resultsgame in o?shore petroleum production that ensues on wildcatLin 1 Introduction Petroleum production is a multi-stage

  1. Introduction Transport in disordered graphene

    E-Print Network [OSTI]

    Fominov, Yakov

    Introduction Transport in disordered graphene Summary Ballistic transport in disordered graphene P, Gornyi, Mirlin Ballistic transport in disordered graphene #12;Introduction Transport in disordered graphene Summary Outline 1 Introduction Model Experimental motivation Transport in clean graphene 2

  2. )esign and Analysis of Cross-Over Trials B. Jones and M.G. Kenward (1989) 15 Empirical Bayes Method, 2nd edition J.S. Maritz and T. Lwin (1989)

    E-Print Network [OSTI]

    Born, Richard

    (1989) 38 Cyclic Designs J.A. John (1987) 39 Analog Estimation Methods in Econometrics C.F. Manski (1988, University of Toronto CHAPMAN & HALL/CRC Boca Raton London New York Washington, D.C. #12;Library of Congress LLC, 2000 Corporate Blvd., N.W., Boca Raton, Florida 33431. Trademark Notice: Product or corporate

  3. Essays in econometrics

    E-Print Network [OSTI]

    Oryshchenko, Vitaliy

    2011-03-15T23:59:59.000Z

    -varying quantiles of GARCH residuals. . . . . . . . . . . 60 2.5 Changing tail dispersion and skewness for GARCH residuals. . . . . . . . 61 2.6 ACFs and histogram of PITs of GARCH residuals. . . . . . . . . . . . . 61 2.7 Smoothed time-varying quantiles of NASDAQ... moving average FDI — foreign direct investment FE — fixed effects GARCH — generalised autoregressive heteroscedasticity GEL — generalised empirical likelihood GELKDE — generalised empirical likelihood-based kernel density estimator GLS — generalised least...

  4. Econometrics as Sorcery

    E-Print Network [OSTI]

    G. Innocenti; D. Materassi

    2008-01-19T23:59:59.000Z

    The paper deals with the problem of identifying the internal dependencies and similarities among a large number of random processes. Linear models are considered to describe the relations among the time series and the energy associated to the corresponding modeling error is the criterion adopted to quantify their similarities. Such an approach is interpreted in terms of graph theory suggesting a natural way to group processes together when one provides the best model to explain the other. Moreover, the clustering technique introduced in this paper will turn out to be the dynamical generalization of other multivariate procedures described in literature.

  5. Essays in Econometrics

    E-Print Network [OSTI]

    Poirier, Alexandre

    2013-01-01T23:59:59.000Z

    ? is compact; (d) (Differentiability and Global Lipschitz of? is compact; (d) (Differentiability and Global Lipschitz of

  6. Summer Housing Contract INTRODUCTION

    E-Print Network [OSTI]

    Devoto, Stephen H.

    Summer Housing Contract INTRODUCTION Wesleyan University believes that residential life OF OCCUPANCY The minimum contract term for summer housing is two weeks beginning on May 27, 2011 and closing includes the dates university housing is available for students to move in and dates that students

  7. Power Series Introduction

    E-Print Network [OSTI]

    Vickers, James

    Power Series 16.4 Introduction In this section we consider power series. These are examples of infinite series where each term contains a variable, x, raised to a positive integer power. We use the ratio test to obtain the radius of convergence R, of the power series and state the important result

  8. Computer Use Regulation Introduction

    E-Print Network [OSTI]

    Liu, Paul

    Computer Use Regulation #12;Introduction · The following training materials will reference the contents of the Computer Use Regulations, but should not serve as a substitute for reading the actual responsibilities NCSU employees have under the regulations. · North Carolina State University's computer networks

  9. Risk Management Strategy Introduction

    E-Print Network [OSTI]

    Edinburgh, University of

    Risk Management Strategy Introduction 1. The risk of adverse consequences is inherent in all activity. Dynamic enterprise will inevitably create new risks. Risk management is about ensuring that all significant relevant risks are understood and prioritised as part of normal management

  10. Chapter One Introduction

    E-Print Network [OSTI]

    Gajic, Zoran

    Chapter One Introduction This book represents a modern treatment of classical control theory of continuous- and discrete-time linear systems. Classical control theory originated in the fifties and attained "dynamic" computers for solving specialized problems. Where is the place of classical (and modern) control

  11. GE Healthcare Introduction

    E-Print Network [OSTI]

    Lebendiker, Mario

    GE Healthcare Introduction HR 16 columns are designed for high resolution liquid chromatography your local GE Healthcare office. System compatibility HR 16 columns are designed to be used with ÄKTATM. Wash the parts thoroughly in distilled water. 4. Reassemble the column (see Assembling the column above

  12. Earth Structure Introduction

    E-Print Network [OSTI]

    Earth Structure Introduction Earth Structure (2nd Edition), 2004 W.W. Norton & Co, New York Slide show by Ben van der Pluijm © WW Norton, unless noted otherwise #12;© EarthStructure (2nd ed) 210/4/2010 Aerial views #12;© EarthStructure (2nd ed) 310/4/2010 http://www.globalchange.umich.edu/Ben/ES/ #12

  13. transformation languages Introduction

    E-Print Network [OSTI]

    Nierstrasz, Oscar

    transformation languages Introduction Transformation languages are widely used for to process can I change / transform the design of a certain task without changing it's logic The common/and hierarchical or/and abstract set of information. It can even be a stream of data. · The transformation engine

  14. DATA SEARCH ENGINE INTRODUCTION

    E-Print Network [OSTI]

    Meng, Weiyi

    are performed every day. The Web consists of the Surface Web and the Deep Web (Hidden Web or Invisible Web of a page allows the page to be fetched directly. In contrast, the Deep Web contains pages that cannotD DATA SEARCH ENGINE INTRODUCTION The World Wide Web was first developed by Tim Berners- Lee

  15. Ecosystem element cycling Introduction

    E-Print Network [OSTI]

    Ickert-Bond, Steffi

    Ecosystem element cycling Introduction An ecosystem consists of all the biological organisms and the physical environments they occupy together within a defined area [1]. The actual boundaries of an ecosystem are generally defined by researchers studying the ecosystem, who are usually interested in understanding

  16. INTRODUCTION Ukiah Electric Utility

    E-Print Network [OSTI]

    INTRODUCTION Ukiah Electric Utility Renewable Energy Resources Procurement Plan Per Senate Billlx 2 renewable energy resources, including renewable energy credits, as a specified percentage of Ukiah's total,2011 to December 31, 2013, Ukiah shall procure renewable energy resources equivalent to an average of at least

  17. ENVIRONMENTAL POLICY 1. Introduction

    E-Print Network [OSTI]

    Mottram, Nigel

    ENVIRONMENTAL POLICY 1. Introduction University of Glasgow recognises that its activities may have effects on the environment. This Environmental Policy has been produced to affirm the University's commitment to environmental issues and to demonstrate its intention to address those issues through continual

  18. Landscape pattern Introduction

    E-Print Network [OSTI]

    McGarigal, Kevin

    Landscape pattern metrics Introduction Landscape ecology, if not ecology in general, is largely founded on the notion that environmen- tal patterns strongly influence ecological processes [1, 2, and these patterns interact with organism perception and behavior to drive the higher level processes of population

  19. Introduction Stephen R. Carpenter

    E-Print Network [OSTI]

    DRAFT: DO NOT CITE OR QUOTE #12;II REGIME SHIFTS IN LAKES Introduction Phosphorus and Eutrophication Recovery from eutrophication: delays and irreversibility Model for eutrophication Depensatory Dynamics of eutrophication Motivation for the Model Model Ecosystem Model Statistical Estimation Management Strategies Monte

  20. University Materials Institute INTRODUCTION

    E-Print Network [OSTI]

    Escolano, Francisco

    University Materials Institute INTRODUCTION The University Materials Science Institute of Alicante the needed multidisciplinary character of the materials area. It is important to highlight the fact participate in the Materials Science PhD program which is imparted at the UA. Scientific research

  1. Introduction Health Sciences

    E-Print Network [OSTI]

    Banbara, Mutsunori

    with the originality and creativity to establish total health care, (2advanced healthcare specialists with abundant and researchers who can put total health care into practice. 21 20084 2 3 total health care #1232 Introduction Guide Entrance Life Career Inquiries Health Sciences Health Problems

  2. Introduction to Distributed Systems

    E-Print Network [OSTI]

    Pous, Damien

    1 Introduction to Distributed Systems Fabienne Boyer, LIG, fabienne.boyer@inria.fr Sources: Cours d'Olivier Gruber, Sacha Krakowiak, Sara Bouchenak, UJF Fabienne Boyer, Distributed Programming 2 Objectives Study conceptual and practical aspects of distributed systems l Client-server model l Distributed protocols l

  3. 42 Highlights Introduction

    E-Print Network [OSTI]

    Haak, Hein

    42 Highlights Introduction Wind is an important driving force for wave growth and surge. Knowledge of extreme wind speed levels in the coastal regions of the Netherlands and over inland water bodies boundary conditions. The KNMI-HYDRA project aims at providing an updated wind climatology for the Dutch

  4. Introduction to Transportation Planning

    E-Print Network [OSTI]

    Tipple, Brett

    Introduction to Transportation Planning CMP 4710/6710 Fall 2012 3 Credit Hours Room: ARCH 229 on a Saturday night, transportation is not an objective in and of itself, but a means to carry out the functions of daily living (i.e., it's a "derived good"). As a consequence, the transportation systems we build

  5. Introduction to Computational Science

    E-Print Network [OSTI]

    Introduction to Computational Science (and why you should learn it!) Lyle N. Long Distinguished Professor of Aerospace Engineering and Mathematics Director, Graduate Minor Program in Computational Science #12;Outline · A little about me · What is computational science · Why study computational science

  6. Wind Turbine Competition Introduction

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    Wind Turbine Competition Introduction: The Society of Hispanic Professional Engineers, SHPE at UTK, wishes to invite you to participate in our first `Wind Turbine' competition as part of Engineer's Week). You will be evaluated by how much power your wind turbine generates at the medium setting of our fan

  7. Forest ecology Introduction

    E-Print Network [OSTI]

    Johnson, Edward A.

    Forest ecology Introduction Forest ecology is a part of ecology that is con- cerned with forests as opposed to grasslands, savan- nas, or tundra. Ecology is the study of the processes of interaction among organisms and between organ- isms and their environment. Ecology is often subdi- vided into physiological

  8. Plant Ecology An Introduction

    E-Print Network [OSTI]

    Cochran-Stafira, D. Liane

    1 Plant Ecology An Introduction Ecology as a Science Study of the relationships between living and causes of the abundance and distribution of organisms Ecology as a Science We'll use the perspective of terrestrial plants Basic ecology - ecological principles Applied ecology - application of principles

  9. page 1 1 Introduction

    E-Print Network [OSTI]

    #12;#12;#12;#12;#12;#12;page 1 1 Introduction Techniques to recover object shapes from reflectance. The sunlight can be regarded as yellow point light source whose movement is restricted to the ecliptic1 reflection components from the object surface. Reflection from object surfaces may have multiple 1. The great

  10. Introduction to Linear Relaxations

    E-Print Network [OSTI]

    Introduction to Linear Relaxations by R. Baker Kearfott Department of Mathematics University relaxations; . discuss validation of linear relaxations. Intro. Linear Relaxations December, 2003 Taylor, . . . , m 2 , where # : R n # R and c i , g i : R n # R are guaranteed to be within one of the x # that has

  11. Research paper Introduction

    E-Print Network [OSTI]

    Bern, Universität

    Research paper Introduction The need for protected areas to preserve biodiversity, natural or near. Mostly for economic reasons, protected areas such as natural parks and reserves were often selected of such conservation efforts is the protection of landscapes with (presumed) ecological integrity and naturalness

  12. VIRTUAL REALITYVIRTUAL REALITY Introduction

    E-Print Network [OSTI]

    Petriu, Emil M.

    Animation Script Sensor Data Fusion & Interpretation Avatar (of a human or of a real object) VIRTUAL SCENE;HUMAN PERCEPTION OF REALITY REAL WORLD / ENVIRONMENT HUMAN (sentient living animal able of sensible Is Virtual Reality? -A Web-Based Introduction, by Jerry Isdale #12;Virtual Environments allow humans

  13. DATA SHARING WORKBOOK Introduction

    E-Print Network [OSTI]

    Baker, Chris I.

    not to. Such data are difficult if not impossible to replicate because of cost (e.g., large nationalDATA SHARING WORKBOOK · Introduction · Protecting the Rights and Privacy of Human Subjects · Protecting Proprietary Data · Examples of Data Sharing o Data Archives o Federated Data Systems o Data

  14. Winter Weather Introduction

    E-Print Network [OSTI]

    Taylor, Jerry

    Winter Weather Management #12;Introduction · Campus Facilities Staff · Other Campus Organizations #12;Purpose · Organize and coordinate the campus response to winter weather events to maintain campus for use by 7 AM. · Response will be modified depending upon forecast and current weather conditions. #12

  15. OIL & GAS INSTITUTE Introduction

    E-Print Network [OSTI]

    Mottram, Nigel

    OIL & GAS INSTITUTE CONTENTS Introduction Asset Integrity Underpinning Capabilities 2 4 4 6 8 9 10 COMPETITIVENESS UNIVERSITY of STRATHCLYDE OIL & GAS INSTITUTE OIL & GAS EXPERTISE AND PARTNERSHIPS #12;1 The launch of the Strathclyde Oil & Gas Institute represents an important step forward for the University

  16. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

  17. 885RESEARCH ARTICLE INTRODUCTION

    E-Print Network [OSTI]

    Villefranche sur mer

    885RESEARCH ARTICLE INTRODUCTION Entry into and exit from mitosis is regulated by cyclin cell cycles is that directionality is provided by cyclin B destruction rendering exit from M phase, during meiosis, two M phases occur one after the other. Moreover, akin to mitotic exit, exit from meoisis

  18. CONTENTS PAGE INTRODUCTION

    E-Print Network [OSTI]

    Aslaksen, Helmer

    THE APPLICATIONS AND VALIDITY OF BODE'S LAW CAN WE EXPLAIN BODE'S LAW USING GRAVITY? 8 Law of Gravitation 8 Centre#12;#12;CONTENTS CONTENTS PAGE INTRODUCTION WHO, HOW AND WHEN IS THE BODE'S LAW DISCOVERED? 1 THE BODE'S LAW HOW THE BODE'S LAW SATISFIED URANUS 3 HOW THE BODE'S LAW LED TO THE DISCOVERY OF CERES

  19. Introduction Classical Field Theory

    E-Print Network [OSTI]

    Baer, Christian

    Introduction Classical Field Theory Locally Covariant Quantum Field Theory Renormalization Time evolution Conclusions and outlook Locality and Algebraic Structures in Field Theory Klaus Fredenhagen II¨utsch and Pedro Lauridsen Ribeiro) Klaus Fredenhagen Locality and Algebraic Structures in Field Theory #12

  20. INTRODUCTION UNIVERSITY LOGO

    E-Print Network [OSTI]

    George, Steven C.

    6.4.12 #12;INTRODUCTION UNIVERSITY LOGO COLOR PALETTE TYPOGRAPHY NOMENCLATURE TONE OF VOICE IMAGERY. The University of California, Irvine #12;#12;UNIVERSITY LOGO Overview As one of the world's leading institutions of higher learning, it is crucial for UC Irvine to consistently display a clear and unified logo. This guide

  1. BCB Graduate Program Introduction

    E-Print Network [OSTI]

    Mayfield, John

    Fall 2014 BCB Graduate Program Introduction Bioinformatics and Computational Biology www and Computational Biology #12;Program Overview One of the first Bioinformatics Ph.D. programs in the US With about-major professor (each in a different discipline) Bioinformatics and Computational Biology #12;Major Research

  2. Universiteit Antwerpen Research Methods

    E-Print Network [OSTI]

    Nierstrasz, Oscar

    Methods Science vs. Engineering 5 Science Engineering Physics Chemistry Biology Mathematics ElectroUniversiteit Antwerpen Research Methods in Computer Science (Serge Demeyer -- University of Antwerp Introduction · Origins of Computer Science · Research Philosophy Research Methods · Feasibility study · Pilot

  3. Introduction web smantique

    E-Print Network [OSTI]

    Gagnon, Michel

    Introduction au web sémantique Michel Gagnon �cole polytechnique de montréal #12;Plan de la présentation Définition et description générale Les différentes couches du web sémantique Exemples d'application Conclusion #12; Définition et description générale Les différentes couches du web sémantique Exemples d

  4. 1 Synthetic Texturing 1.1 Introduction

    E-Print Network [OSTI]

    Turk, Greg

    1 Synthetic Texturing 1.1 Introduction This dissertation describes improved methods for computer of this, the top of Figure 1.1 shows a horse model with a white surface and the bottom shows this same-hocformulasforlightreflection Figure 1.1: Stripe texture created using reaction-diffusion. Top is an untextured horse and the bottom

  5. 1 Introduction 1.1 Background

    E-Print Network [OSTI]

    Stølen, Ketil

    #12;#12;3 1 Introduction 1.1 Background Research method is a relevant topic to anybody performing. 1.2 Classical Research, Technology and Technology Research The term research is defined in several different ways. According to Merriam-Webster [1], research is "investigation or experimentation aimed

  6. 1 Introduction and Overview 1.1 Introduction

    E-Print Network [OSTI]

    Belz, Anja

    1 Introduction and Overview 1.1 Introduction There is plenty of evidence that social behaviour quantitative, empirical grounding for emotional NLG. 1.2 Concepts and Terminology Realism and believability

  7. 1 Introduction 1 1.1 Introduction to GIS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1

    E-Print Network [OSTI]

    Shekhar, Shashi

    Contents 1 Introduction 1 1.1 Introduction to GIS : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 1.2 Related work and contribution : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 1 Modeling Requirements 3 2.1 Data Input Unit

  8. An Introduction to Webs

    E-Print Network [OSTI]

    C. D. White

    2015-07-08T23:59:59.000Z

    Webs are sets of Feynman diagrams that contribute to the exponents of scattering amplitudes, in the kinematic limit in which emitted radiation is soft. As such, they have a number of phenomenological and formal applications, and offer tantalising glimpses into the all-order structure of perturbative quantum field theory. This article is based on a series of lectures given to graduate students, and aims to provide a pedagogical introduction to webs. Topics covered include exponentiation in (non-)abelian gauge theories, the web mixing matrix formalism for non-abelian gauge theories, and recent progress on the calculation of web diagrams. Problems are included throughout the text, to aid understanding.

  9. An Introduction to NRQED

    E-Print Network [OSTI]

    Paz, Gil

    2015-01-01T23:59:59.000Z

    We present a pedagogical introduction to NRQED (non-relativistic quantum electrodynamics). NRQED is an effective field theory that describes the interaction of non-relativistic, possibly composite, spin-half particle with the electromagnetic field. We explain in detail how the NRQED Lagrangian is constructed up to and including order $1/M^2$, where $M$ is the mass of the spin-half particle. As a sample application, we derive the Thomson scattering cross section for the low energy scattering of a photon and a possibly composite spin-half particle.

  10. Introduction to Holographic Superconductors

    E-Print Network [OSTI]

    Gary T. Horowitz

    2010-02-17T23:59:59.000Z

    These lectures give an introduction to the theory of holographic superconductors. These are superconductors that have a dual gravitational description using gauge/gravity duality. After introducing a suitable gravitational theory, we discuss its properties in various regimes: the probe limit, the effects of backreaction, the zero temperature limit, and the addition of magnetic fields. Using the gauge/gravity dictionary, these properties reproduce many of the standard features of superconductors. Some familiarity with gauge/gravity duality is assumed. A list of open problems is included at the end.

  11. Chapter 1. Introduction

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321Spain (Million Cubic 1. Introduction Rankeda

  12. logo-coul.jpg Introduction

    E-Print Network [OSTI]

    Mehdi, Salah

    * logo-coul.jpg outline Introduction Les diff´erents cas des orbites co-adjointes. Convergence d nilpotent. #12;* logo-coul.jpg outline Introduction Les diff´erents cas des orbites co'un certain groupe de Lie nilpotent. #12;* logo-coul.jpg outline Introduction Les diff´erents cas des orbites

  13. Graph regularization methods for Web spam detection

    E-Print Network [OSTI]

    Abernethy, Jacob; Chapelle, Olivier; Castillo, Carlos

    2010-01-01T23:59:59.000Z

    An introduction to the conjugate gradient method without theonly implemented the conjugate gradient method. Note onemployed was the conjugate gradient method, de- scribed in

  14. Introduction to lattice QCD

    SciTech Connect (OSTI)

    Gupta, R.

    1998-12-31T23:59:59.000Z

    The goal of the lectures on lattice QCD (LQCD) is to provide an overview of both the technical issues and the progress made so far in obtaining phenomenologically useful numbers. The lectures consist of three parts. The author`s charter is to provide an introduction to LQCD and outline the scope of LQCD calculations. In the second set of lectures, Guido Martinelli will discuss the progress they have made so far in obtaining results, and their impact on Standard Model phenomenology. Finally, Martin Luescher will discuss the topical subjects of chiral symmetry, improved formulation of lattice QCD, and the impact these improvements will have on the quality of results expected from the next generation of simulations.

  15. Remote Method Invocation Remote Method Invocation

    E-Print Network [OSTI]

    Hao, Jin-Kao

    Remote Method Invocation Remote Method Invocation Jean-Michel Richer jean-michel.richer@univ-angers.fr http://www.info.univ-angers.fr/pub/richer M2 Informatique 2010-2011 1 / 22 #12;Remote Method Invocation Plan Plan 1 Introduction 2 RMI en d´etails 3 Exemple 4 Application 2 / 22 #12;Remote Method Invocation

  16. In This Issue: Introduction

    E-Print Network [OSTI]

    Garcia, Alfredo

    CISOs are taking a growing interest in the po- tential applications of risk analysis methods to deci). The pur- pose was to provide a forum for CISOs (about 25 par- ticipated representing a variety of business

  17. web identity standards introduction .............................................................................................................87

    E-Print Network [OSTI]

    Mullins, Dyche

    web identity standards sectionten 86 contents introduction............................................................................................................... 89-90 tagline and the web .................................................................................................91 tagline and the web: improper use

  18. SMT Unipops Rewrite 2010 Introduction

    E-Print Network [OSTI]

    Ziurys, Lucy M.

    SMT Unipops Rewrite 2010 Introduction In conjunction with the spectral line rewrite of 2010 resulted in ******** being displayed instead of real numbers. ./source/conline/smt

  19. Shape Dynamics. An Introduction

    E-Print Network [OSTI]

    Julian Barbour

    2011-05-01T23:59:59.000Z

    Shape dynamics is a completely background-independent universal framework of dynamical theories from which all absolute elements have been eliminated. For particles, only the variables that describe the shapes of the instantaneous particle configurations are dynamical. In the case of Riemannian three-geometries, the only dynamical variables are the parts of the metric that determine angles. The local scale factor plays no role. This leads to a shape-dynamic theory of gravity in which the four-dimensional diffeomorphism invariance of general relativity is replaced by three-dimensional diffeomorphism invariance and three-dimensional conformal invariance. Despite this difference of symmetry groups, it is remarkable that the predictions of the two theories -- shape dynamics and general relativity -- agree on spacetime foliations by hypersurfaces of constant mean extrinsic curvature. However, the two theories are distinct, with shape dynamics having a much more restrictive set of solutions. There are indications that the symmetry group of shape dynamics makes it more amenable to quantization and thus to the creation of quantum gravity. This introduction presents in simple terms the arguments for shape dynamics, its implementation techniques, and a survey of existing results.

  20. Introduction to Artificial Intelligence An Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence G51IAI An Introduction to Data Mining #12; Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. 2 Learning Objectives Dr Rong Qu G51IAI ­ Data Mining #12

  1. 1. Introduction 1-1 Part 1: Introduction

    E-Print Network [OSTI]

    Brass, Stefan

    1. Introduction 1-1 Part 1: Introduction References: · Ramez Elmasri, Shamkant B. Navathe: Database Modeling & Design, 3rd Edition. Morgan Kaufmann, 1999, ISBN 1-55860-500-2. · Graeme C. Simsion, Graham C. Witt: Data Modeling Essentials, 2nd Edition. Coriolis, 2001, ISBN 1-57610-872-4, 459 pages

  2. Introduction Simulation of Pathological conditions

    E-Print Network [OSTI]

    Willson, Stephen J.

    Reference Survey of the Modeling Brain Energy Metabolism and Function -- Report of the work by Larisa. V et State University MATH 690P, Dec. 1. 06 Wen Zhou Modeling Brain Energy #12;Outline Introduction Modeling Simulation of Pathological conditions Conclusion and Discussion Reference Introduction Modeling Energy

  3. Introduction The idea of architecture

    E-Print Network [OSTI]

    Bremen, Universität

    Introduction The idea of architecture What cognitve behaviors have in common Behavior as movement through problem spaces Tying the content to the architecture Memory, perception, action and cognition Detecting a lack of knowledge Learning The SOAR architecture in review Introduction to SOAR based on

  4. Introduction to Phenix

    SciTech Connect (OSTI)

    Terwilliger, Thomas C. [Los Alamos National Laboratory

    2012-06-04T23:59:59.000Z

    PHENIX is a software package that automates nearly all aspects of macromolecular structure determination. This talk will describe the main features of PHENIX, including automated structure solution by MIR, MAD and SAD methods, refinement, molecular replacement, and validation. The PHENIX GUI and command line interfaces will be described as well.

  5. Plutonium: An introduction

    SciTech Connect (OSTI)

    Condit, R.H.

    1993-10-01T23:59:59.000Z

    This report is a summary of the history and properties of plutonium. It presents information on the atoms, comparing chemical and nuclear properties. It looks at the history of the atom, including its discovery and production methods. It summarizes the metallurgy and chemistry of the element. It also describes means of detecting and measuring the presence and quantity of the element.

  6. Introduction to Network Analysis 1 Introduction to Network Analysis

    E-Print Network [OSTI]

    Safro, Ilya

    of movie actors Transportation and logistics network of nuclear power plant Actors, Reactors and More #12). Points Grade 92 A 80 B 60 C 0 F #12;Introduction to Network Analysis 2 Recommended Books (optional

  7. ECE 251: Introduction to Microprocessors

    E-Print Network [OSTI]

    Schumacher, Russ

    ECE 251: Introduction to Microprocessors Pre-requisites: - ECE 102 Memory Combinational interface memory to microprocessor - Able to perform complex operations using simpler primitives - Knows microprocessor instruction set and addressing modes - Able to write programs to perform computational and I

  8. Introduction to ESPC ENABLE Program

    Broader source: Energy.gov [DOE]

    Webinar provides participants with an introduction to the Energy Savings Performance Contract (ESPC) ENABLE program, an overview of the process, and next steps on how to move forward with a project...

  9. Vulnerability Scanning Policy 1 Introduction

    E-Print Network [OSTI]

    Vulnerability Scanning Policy 1 Introduction Vulnerability scanning is an important and necessary and can alert system administrators to potentially serious problems. However vulnerability scanning also to compromise system security. The following policy details the conditions under which vulnerability scans may

  10. Water Quality Criteria Introduction ....................................................................................................................................798

    E-Print Network [OSTI]

    Pitt, Robert E.

    APPENDIX G Water Quality Criteria CONTENTS Introduction ....................................................................................................................................798 EPA's Water Quality Criteria and Standards Plan -- Priorities for the Future............................798 Compilation of Recommended Water Quality Criteria and EPA's Process for Deriving New

  11. Software Engineering Introduction to SWE

    E-Print Network [OSTI]

    Razak, Saquib

    Unit 23 1 Software Engineering · Introduction to SWE · What is SDLC · Phases of SDLC #12;Unit 23 2 the new house to the customer which is now ready for occupation. #12;Unit 23 4 What is SDLC The SDLC has

  12. RESIDENTIAL SERVICES STUDENT CHARTER Introduction

    E-Print Network [OSTI]

    Oakley, Jeremy

    RESIDENTIAL SERVICES STUDENT CHARTER Introduction This Charter sets out the standards of provision. Residential Services are committed to encouraging diversity and inclusiveness within University residences via the Residential Services Annual Report and the internet. Consultation This Charter was developed

  13. TEX-A-SYST: Introduction 

    E-Print Network [OSTI]

    Harris, Bill L.; Hoffman, D.; Mazac Jr., F. J.

    1997-08-29T23:59:59.000Z

    Tex-A-Syst is a series of publications to help rural residents assess the risk of ground water pollution and understand practices that can protect ground water. This introduction covers the characteristics of aquifers and explains how to conduct...

  14. BIODIVERSITY Freshwater fish introductions in

    E-Print Network [OSTI]

    Olden, Julian D.

    BIODIVERSITY RESEARCH Freshwater fish introductions in mediterranean-climate regions and fragmenta- tion, hydrological alteration, climate change, overexploitation, pollution and the global mediterranean-climate regions: California (USA), central Chile, south-western Australia, the Iberian peninsula

  15. An Introduction to MPI Edgar Gabriel

    E-Print Network [OSTI]

    Subhlok, Jaspal

    An Introduction to MPI Edgar Gabriel An Introduction to MPI Edgar Gabriel #12;An Introduction to MPI Edgar Gabriel Overview · Distributed memory machines · Basic principles of the Message Passing Introduction to MPI Edgar Gabriel Distributed memory machines Compute node message passing network

  16. Introduction to Network Science 1 Stanley Milgram

    E-Print Network [OSTI]

    Safro, Ilya

    :statistics is poor at the tailof the distribution Solution I: different sizes of bins #12;Introduction to Network Cumulative Distribution Newman "Networks, an Introduction" Advantages: · no bins · easy calculation · can #12;Introduction to Network Science 7 Cumulative Distribution From Newman "Networks, an Introduction

  17. The Total RNA Story Introduction

    E-Print Network [OSTI]

    Goldman, Steven A.

    The Total RNA Story Introduction Assessing RNA sample quality as a routine part of the gene about RNA sample quality. Data from a high quality total RNA preparation Although a wide variety RNA data interpretation and identify features from total RNA electropherograms that reveal information

  18. Introduction to Programming Second semester

    E-Print Network [OSTI]

    Alechina, Natasha

    of the script. exam revision 5 What kind of questions... · The kind of questions similar to last year PR2 exam protected access modifier mean (5 points)? exam revision 6 What are they supposed to test · Written exam1 G51PRG: Introduction to Programming Second semester Exam revision Natasha Alechina School

  19. 1 Introduction About this lecture

    E-Print Network [OSTI]

    Choi, Suhyoung

    1 Introduction About this lecture · Sets (HTP Sections 1.3, 1.4) · Quantifiers and sets (HTP 2.1) · Equivalences involving quantifiers (HTP 2.2) · More operations on sets (HTP 2.3) · Course homepages: http

  20. 1. Introduction Assign team leaders

    E-Print Network [OSTI]

    de Lijser, Peter

    /call/freq Indirect fire/call/freq Air support/call/freq Confirm dis/azimuth Notional security AA location PIR ROE1. Introduction Assign team leaders Assign map man and time keeper Security SOP specialty teams schedules j. PIR k.ROE l. Signals to initiate attack m. Specialty teams n.Contingency plans...indirect fire

  1. SPINNING THE SEMANTIC WEB INTRODUCTION

    E-Print Network [OSTI]

    Wahlster, Wolfgang - Deutsche Forschungszentrum fĂĽr KĂĽnstliche Intelligenz & FR 6.2

    SPINNING THE SEMANTIC WEB INTRODUCTION Dieter Fensel, Jim Hendler, Henry Lieberman, and Wolfgang Wahlster The World Wide Web (WWW) has drastically changed the availability of electronically accessible (http://www.w3c.org) expects around a billion Web users and an even higher number of available documents

  2. Web Search. Web Spidering Introduction

    E-Print Network [OSTI]

    Inkpen, Diana

    1 Web Search. Web Spidering Introduction #12;2 Outline · Information Retrieval applied on the Web · The Web ­ the largest collection of documents available today ­Still, a collection ­Should be able to apply "traditional" IR techniques, with few changes · Web Search · Spidering #12;3 Web Search Using IR

  3. UTS Policy Framework: Introduction 11.

    E-Print Network [OSTI]

    University of Technology, Sydney

    UTS Policy Framework: user guide Contents Introduction 11. TheroleofpolicywithintheUniversity 12 Policytemplate 64kbWord Directivetemplate 64kbWord Coversheets Coversheet--policies 48kbWord Coversheet--academicpolicies 48kbWord Coversheet--directives 48kbWord Policy Tools PolicyTool1:IssuesLog 60kbWord PolicyTool2

  4. Clean Energy Jobs Plan Introduction

    E-Print Network [OSTI]

    times as many jobs per dollar as gas, oil or coal. And dollars invested in clean energy tend to stay. Investment in clean technology is also growing. Clean tech investment in California reached $3.3 billionClean Energy Jobs Plan Introduction When I was governor, California was the world leader

  5. An Introduction to Causal Inference*

    E-Print Network [OSTI]

    Spirtes, Peter

    An Introduction to Causal Inference* Richard Scheines In Causation, Prediction, and Search (CPS in Glymour's paper or in CPS, which are clear although sometimes dense. Here I attempt to fix intuitions by highlighting a few of the essential ideas and by providing extremely simple examples throughout. The route I

  6. An Introduction to Causal Inference

    E-Print Network [OSTI]

    Spirtes, Peter

    An Introduction to Causal Inference Richard Scheines In Causation, Prediction, and Search (CPS in Glymour's paper or in CPS, which are clear although sometimes dense. Here I attempt to fix intuitions by highlighting a few of the essential ideas and by providing extremely simple examples throughout. The route I

  7. I. INTRODUCTION Hierarchical Adaptive Kalman

    E-Print Network [OSTI]

    Ghosh, Joydeep

    I. INTRODUCTION Hierarchical Adaptive Kalman Filtering for Interplanetary Orbit Determination of Texas at Austin A modular and flexibleapproach to adaptive Kalman filtering has recently been introduced using the framework of a mixture-of-experts regulated by a gating network. Each expert is a Kalman

  8. MARSAME Roadmap Introduction to MARSAME

    E-Print Network [OSTI]

    MARSAME Roadmap ROADMAP Introduction to MARSAME The Multi-Agency Radiation Survey and Assessment flexibility in the survey process, and this flexibility is incorporated into MARSAME. The Goal of the Roadmap The increased flexibility of MARSAME comes with increased complexity. The goal of the roadmap is to assist

  9. Laser Cooling of Matter INTRODUCTION

    E-Print Network [OSTI]

    Kaiser, Robin

    - velopment of techniques that have allowed the ion motion to be cooled into the ground state of the confiningLaser Cooling of Matter INTRODUCTION Laser cooling of neutral atoms in the past decades has been a breakthrough in the understanding of their dy- namics and led to the seminal proposals of laser cooling

  10. I. IONIZATION COOLING A. Introduction

    E-Print Network [OSTI]

    McDonald, Kirk

    ionization cooling techniques to reduce the 6­dimensional phase space emittance. B. Cooling TheoryI. IONIZATION COOLING A. Introduction The muon beam at the end of the decay channel is very intense for beam cooling. Cooling by synchrotron radiation, conventional stochastic cooling and conventional

  11. Le laser : une brve introduction

    E-Print Network [OSTI]

    van Tiggelen, Bart

    Le laser : une brčve introduction Christian Chardonnet Directeur du Laboratoire Charles Fabry (CNRS Lasers (CNRS/Université Paris 13) Le 9 avril 2010 #12;Les sources de lumičre l'ampoule électrique Les;Zoom : x1000 x1000 x1000 x1000 x100 Le spectre du soleil I.R. U.V. Comparaison du rayonnement laser et

  12. Introduction Agriculture/Agricultural Science

    E-Print Network [OSTI]

    Banbara, Mutsunori

    38 Introduction Guide Entrance Life Career Inquiries Agriculture/Agricultural Science Mission and goal of the Graduate School of Agricultural Science The mission of agricultural science organization which aims to realize this agricultural ideal, the Graduate School of Agricultural Science's basic

  13. Ris Energy Report 3 Introduction

    E-Print Network [OSTI]

    problems related to security of supply, climate change and environmental degradation, but hydrogen energy4 Risř Energy Report 3 Introduction Hydrogen used as an energy carrier may not solve all our energy in combination with fuel cells may fit well into a future energy system based on renewables. If Denmark

  14. AN INTRODUCTION TO QUANTUM OPTICS...

    E-Print Network [OSTI]

    Palffy-Muhoray, Peter

    AN INTRODUCTION TO QUANTUM OPTICS... ...the light as you've never seen before... Optics:http://science.howstuffworks.com/laser5.htm #12;5 DEFINITION Quantum Optics: "Quantum optics is a field in quantum physics, dealing OPTICS OPERATORS Light is described in terms of field operators for creation and annihilation of photons

  15. SCIENCE, OPTICS & YOU GUIDEBOOK INTRODUCTION

    E-Print Network [OSTI]

    Weston, Ken

    SCIENCE, OPTICS & YOU GUIDEBOOK - i - INTRODUCTION WHAT IS SCIENCE, 0PTICS & YOU? The Science, Optics and You Guidebook is made up as follows: Science, Optics and You is a standards light, color, and optics. Activities are designed to engage students in active investigation

  16. Table of Contents INTRODUCTION 2

    E-Print Network [OSTI]

    O'Mahony, Donal E.

    #12;1 Table of Contents INTRODUCTION 2 SECTION ONE: PRINCIPLES OF GOOD PRACTICE 4 SECTION TWO, it offers a practical guide to staff and volunteers who work with children by outlining a number of fundamental principles of good practice, highlighting the key elements of each one and discussing the issues

  17. Wildlife Category Review: Planning Introduction

    E-Print Network [OSTI]

    budget and scope adjustments, project durations, and the results from the science review) categorical projects for up to eight years. Periodic budget and performance check-ins would occur duringWildlife Category Review: Planning Introduction Category and Geographic Reviews To implement

  18. 7 Introduction to Maple Programming

    E-Print Network [OSTI]

    Meade, Douglas B.

    , plastics and drugs. The reactor model developed in this chapter's application is based on the principle195 7 Introduction to Maple Programming Chemical engineers apply principles of chemistry, physics and undergo other chemical changes during the manufacturing process. Reactors and reactor models can be used

  19. GEOLOGY, July 2011 683 INTRODUCTION

    E-Print Network [OSTI]

    Paytan, Adina

    GEOLOGY, July 2011 683 INTRODUCTION Calcite (CaCO3 ) sedimentation in the ocean represents in the rate and locations of CaCO3 sedimentation and their association with carbon cycle per- turbations over system (e.g., Lyle et al., 2008). However, reconstructing global changes in CaCO3 sedimentation pat

  20. INTRODUCTION TO THE MENTOR AND

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    INTRODUCTION TO THE MENTOR AND WELLNESS PROGRAMS Office of Student Affairs #12;Must Have Skills of a Mentor Interpersonal Communication Leadership Knowledge Establishing Rapport "Nurturing" Non to bring the spark, but it is the responsibility as a mentor to provide the structure and support

  1. GEOLOGY, September 2010 823 INTRODUCTION

    E-Print Network [OSTI]

    Demouchy, Sylvie

    GEOLOGY, September 2010 823 INTRODUCTION Deformations around transpressive plate boundaries numerical models constrained by global positioning system (GPS) observations and Geology, September 2010; v. 38; no. 9; p. 823­826; doi: 10.1130/G30963.1; 3 figures; 1 table. © 2010 Geological Society

  2. Introduction to Green Building & LEED

    E-Print Network [OSTI]

    Zaferatos, Nicholas C.

    Introduction to Green Building & LEED Alistair Jackson Principal O'Brien & Company alistair ­ Green Building Standard · MLS Listing Service #12;#12;#12;#12;#12;#12;#12;#12 of existing infrastructure and provides a foundation for high performance green buildings · Integrated

  3. G. A. Edgar 0. Introduction

    E-Print Network [OSTI]

    Edgar, Gerald

    x H C s s A M S s ? s Abstract. G. A. Edgar 0. Introduction FINE VARIATION AND FRACTAL MEASURES; ! ? i i j 1 2 1 2 8 9 [ 8 9 0 1 2 G. A. EDGAR 1 2 1 2 0 0 0 0 0 0 0 0 1. Covering measure r r r r i i r

  4. G. A. Edgar 0. Introduction

    E-Print Network [OSTI]

    Edgar, Gerald

    s s AMS B s > s B Abstract. G. A. Edgar 0. Introduction PACKING MEASURE AS A GAUGE VARIATION 0 i j i i #12;nite 2 G. A. EDGAR P P P P P P P D P P P X 0 1 e e ( X e ) e X 0 1 1. Packing measure

  5. G. A. Edgar 0. Introduction

    E-Print Network [OSTI]

    Edgar, Gerald

    s s A M S B s ? s B Abstract. G. A. Edgar 0. Introduction PACKING MEASURE AS A GAUGE VARIATION in a subsequent paper. #12; ? D 1 2 ! 2 1 2 0 i j i i finite 2 G. A. EDGAR P P P P P P P D P P P X 0 1 e e ( X e

  6. TABLE OF CONTENTS Introduction........................................................................................................................................... 1

    E-Print Network [OSTI]

    ........................................................................................................B-1 Workshop on Electrolysis Production of Hydrogen from Wind and Hydropower i #12;ii Workshop on Electrolysis Production of Hydrogen from Wind and Hydropower #12;Introduction Wind and hydropower technologies. The co-production of electricity and hydrogen from wind and hydropower facilities offers some exciting

  7. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    electricity demand forecast means that the region's electricity needs would grow by 5,343 average megawattsDemand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required in electricity demand is, of course, crucial to determining the need for new electricity resources and helping

  8. 3. PROJECT GOVERNANCE 1. Introduction

    E-Print Network [OSTI]

    3. PROJECT GOVERNANCE 1. Introduction In October 2010, the CEI UPF-Icŕria project, led by Pompeu Fabra University (UPF), was named an International Campus of Excellence (CEI). The project defined a set I. CEI UPF-Icŕria governance model Source: CEI UPF-Icŕria project The specific purpose of each unit

  9. Ris Energy Report 3 Introduction

    E-Print Network [OSTI]

    , light vehicles such as elec- tric trolleys, lawn mowers and roadside equipment. Fuel cell types5.5 Risø Energy Report 3 Introduction Fuel cells were originally intended for use in power plants cells. Small fuel cells could replace batteries in portable elec- tronic equipment (up to 100 W

  10. Co-optimization 1 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    1 Co-optimization 1 Introduction Many of you are familiar with the basic electricity market operation which maximizes the economic surplus of the market, where the surplus may be loosely thought engines because it does not account for reserves. The simplest approach to account for reserves

  11. Introduction

    E-Print Network [OSTI]

    Villarreal, Belen M

    2012-01-01T23:59:59.000Z

    begins with Covadonga Lamar Prieto’s historical analysis ofthe nineteenth century. Lamar Prieto’s research focuses on

  12. INTRODUCTION

    Broader source: Energy.gov (indexed) [DOE]

    soils; water use and quality; wetlands; vegetation; wildlife; fisheries and essential fish habitat (EFH); threatened, endangered, and special status species; land use,...

  13. Introduction

    Office of Environmental Management (EM)

    Such sites are called closure sites. At both on-going mission sites and closure sites, if residual hazards remain in place (e.g., waste disposal cells, ground water contamination),...

  14. Introduction

    E-Print Network [OSTI]

    Devlin, Patrick M

    2015-01-01T23:59:59.000Z

    Page 1 ... Watch all the video lessons, complete all the outlines and take notes. • Go through all ... If you are on or near campus, take advantage of the Math ... Write these down NOW! .... Don't fall behind; stay current with homework and.

  15. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Devices It is generally noted that at an undulator straight section, the horizontal beta function is made to be large while the vertical beta function is relatively small. On...

  16. Introduction

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    footage of both new construction and existing structures, based on trends in new construction and remodeling. Industrial Demand Module The Industrial Demand Module (IDM)...

  17. Introduction

    Energy Savers [EERE]

    of Solution MELCOR can be used to model in-facility transport that involves the two broad areas of mixingtransport of a hazardous gas andor aerosol transport of a hazardous...

  18. Introduction

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-05-21T23:59:59.000Z

    Provides guidance for software engineering, project management, and quality assurance practices and procedures. Does not cancel other directives.

  19. Introduction

    Office of Environmental Management (EM)

    when the United States launched a nuclear rocket program called Project Rover. A nuclear reactor and test engines were located in the southwest corner of the Nevada Test...

  20. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    others provide the ability for designers to asses the potential output and revenue from a PV system. These packages are particularly adept at answering the following design...

  1. Introduction

    E-Print Network [OSTI]

    Dominguez Rubio, Fernando; Baert, Patrick

    2012-01-01T23:59:59.000Z

    of spreading genetically modified foods. Developments likeclimate change, genetically modified food and predictive

  2. Introduction

    E-Print Network [OSTI]

    Cheung, KK; Yamamoto, H

    1994-01-01T23:59:59.000Z

    EHamH$m GEN a.mHa.. womnoau HHo:mE8a HHHo: Em: 1HJoa:m.m mmm?m 8 mxmmHlt;m:mmm om HHo:o:. Hm H 3 HEESSEE ..mm

  3. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    off-grid electricity generation, and heat from geothermal resources used directly (e.g., district heating and greenhouses) are not included in the projections. Electric Power...

  4. Introduction

    Broader source: Energy.gov (indexed) [DOE]

    otemprogram.html April 2005 12 TEPP Planning Tools * Documents provide guidance & graphics April 2005 13 Case History Links Location - York County, SC (Rock Hill, near...

  5. Introduction

    SciTech Connect (OSTI)

    NONE

    1993-01-01T23:59:59.000Z

    This section of the report describes the history of the tribology program of the Office of Transportation Materials (OTM) in the Office of Transportation Technologies (OTT). The mission of the Office of Transportation Technology is discussed. OTT`s research objectives focus on (1) automobiles and light-duty trucks and vans and (2) heavy duty trucks and buses. Even small gains in efficiency can produce large paybacks for the tax dollar. The mission of the Office of Transportation Materials is also described. Its research objective is to enable the development and engineering of energy-efficient transportation systems that will make possible the transition of the U.S. transportation sector from dependence on petroleum to alternative fuels and electricity. The mission of the Tibology Program is to provide the base technology to enable savings in annual U.S. energy consumption through tribological advances in the transportation sector. Current task areas are in the fields of advanced lubrication, engineered tribological interfaces, advanced tribomaterials and components, and project management.

  6. Introduction

    E-Print Network [OSTI]

    Edmondson, Belinda; Francis, Donette; Neptune, Harvey

    2013-01-01T23:59:59.000Z

    of an author who counted Hitler among his admirers, isMaking Spain a Haven from Hitler,” Diplomatic History 36,

  7. Introduction

    E-Print Network [OSTI]

    Edmondson, Belinda; Francis, Donette; Neptune, Harvey

    2013-01-01T23:59:59.000Z

    one hand and places like Haiti and Argentina on the other.communities like Haiti, but their early twentieth centurypublished histories in which Haiti was featured as a New

  8. Introduction

    Gasoline and Diesel Fuel Update (EIA)

    of crude oil and product liquids in the United States. Residential and Commercial Demand Modules The Residential Demand Module projects energy consumption in the residential...

  9. Introduction

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment of EnergyIndustry15AmongPartnership forWhen

  10. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes | National NuclearInterlibraryDocumentationTechnical Reference on

  11. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes | National NuclearInterlibraryDocumentationTechnical Reference

  12. INTRODUCTION

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not Found Item Not Found TheHot electron dynamics in graphene byI _ _I.1008 20031

  13. Introduction

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not Found Item Not Found TheHot electron dynamics in graphene

  14. INTRODUCTION

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby/%2AO 474.2Y-12NevadaPROCEEDINGS,Los

  15. Introduction

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby/%2AO

  16. Introduction

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby/%2AOU1a Complex is an underground

  17. Introduction

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby/%2AOU1a Complex is an

  18. Introduction

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby/%2AOU1a Complex is anBig Explosives

  19. Introduction

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby/%2AOU1a Complex is anBig

  20. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing the newx

  1. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing the newxix

  2. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing the

  3. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing

  4. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing1999

  5. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing1999

  6. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing1999Public

  7. Introduction

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn OtherEnergy InternationalIntriguingIntroducing1999Public

  8. Introduction

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12Approvedof Energy Interim ReportComplex Sites:

  9. Introduction

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12Approvedof Energy Interim ReportComplex Sites:Preliminary

  10. Econometrics: A Bird's Eye View

    E-Print Network [OSTI]

    Geweke, John; Horowitz, Joel; Pesaran, M Hashem

    cycle of about 7—11 years duration, commonly known as the Juglar cycle. Other economists such as Kitchin, Kuznets and Kondratieff followed Juglar’s lead and discovered the inventory cycle (3—5 years duration), the building cy- cle (15—25 years duration...

  11. Platforms and Methods for Acoustic Detection and Monitoring of Key

    E-Print Network [OSTI]

    Hawai'i at Manoa, University of

    #12;Platforms and Methods for Acoustic Detection and Monitoring of Key Ecosystem Properties Nils Olav Handegard #12;· Introduction · Platforms carrying acoustics · Methods · Applications ­ What we have done · Applications ­ What we would like to do #12;· Introduction · Platforms carrying acoustics

  12. Introduction to data assimilationIntroduction to data assimilation and least squares methodsand least squares methods

    E-Print Network [OSTI]

    Kalnay, Eugenia

    +LW cooling[ ] y = h(T ) ! !T 4 #12;Intro. to remote sensing and dataIntro. to remote sensing and data combined (analysis): Now we are going to see a second toy example of data assimilation including remote with big models and many obs. Ta = Tb + !b 2 !b 2 + !o 2 (To " Tb ) with #12;Intro. toIntro. to remote

  13. Preface XIII 1 Introduction 1

    E-Print Network [OSTI]

    Schramm, Laurier L.

    VII Preface XIII 1 Introduction 1 1.1 The Colloidal State 1 1.2 Classification of Emulsions, Foams, and Suspensions 4 1.2.1 Emulsions 4 1.2.2 Foams 7 1.2.3 Suspensions 9 1.3 Characterization and Stability 11 2 Dispersion and Dispersed Species Characterization 13 2.1 Surface Area, Porosity, and Permeability 13 2.2 Size

  14. 1 INTRODUCTION 1.1 Predicting pile behaviour

    E-Print Network [OSTI]

    Bolton, Malcolm

    1 INTRODUCTION 1.1 Predicting pile behaviour The axial capacity of displacement piles in sand widely used technique for the design of long offshore displacement piles is that proposed by the American resistance in sand The observed unreliability in pile design methods suggests that the governing behaviour

  15. OFFSHORE WIND FARM LAYOUT OPTIMIZATION (OWFLO) PROJECT: AN INTRODUCTION

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    OFFSHORE WIND FARM LAYOUT OPTIMIZATION (OWFLO) PROJECT: AN INTRODUCTION C. N. Elkinton* , J. F focused on land-based wind farms, rather than on offshore farms. The conventional method used to lay out that distinguish offshore wind farms from their onshore counterparts, the Offshore Wind Farm Layout Optimization

  16. IE 361 Module 10 Introduction to Shewhart Control Charting

    E-Print Network [OSTI]

    Vardeman, Stephen B.

    .1, Statistical Quality Assurance Methods for Engineers 1 #12;Generalities About Shewhart Control Charting SPCIE 361 Module 10 Introduction to Shewhart Control Charting (Statistical Process Control, or More (SPM) is process watching for purposes of change detection. Figure 1: SPC (SPM) is About "Process

  17. FOMGT 353 Introduction to Management Science Spring 2003

    E-Print Network [OSTI]

    Nagurney, Anna

    and Operations Research. It focuses on linear programming, the fundamental concepts, and algorithms. Applications programming problems, such as the transportation problem and assignment problems will also be studied 2. Linear Programming Introduction Graphical Method 3. Some Applications of Linear Programming 4

  18. Statistical Natural Language 4.0 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199

    E-Print Network [OSTI]

    Mohri, Mehryar

    199 CHAPTER 4 Statistical Natural Language Processing 4.0 Introduction The application of statistical methods to natural language processing has been remarkably successful over the past Language Processing Semiring Set 0 1 Boolean {0, 1} 0 1 Probability R+ + × 0 1 Log R {-, +} log + + 0

  19. Introduction The median problem for the reversal distance in

    E-Print Network [OSTI]

    Lonardi, Stefano

    genomes E. Ohlebusch, M.I. Abouelhoda, K. Hockel, J. Stallkamp University of Ulm, Germany CPM 2005 The median problem for the reversal distance in circular bacterial genomes #12;Introduction Methods Conclusion General Problem Distances Specific Problem Median Problem Given 3 genomes G1, G2, and G3, find

  20. INTRODUCTION Statistical metrology is the body of methods for under

    E-Print Network [OSTI]

    Boning, Duane S.

    and presented by Box et al. (1) and Taguchi (2), and applica­ tion to semiconductor manufacturing by Phadke (3 as a ``bridge'' between manufacturing and design. In (14, 15) an early review of the defining elements

  1. INTRODUCTION Statistical metrology is the body of methods for under-

    E-Print Network [OSTI]

    Boning, Duane S.

    and presented by Box et al. (1) and Taguchi (2), and applica- tion to semiconductor manufacturing by Phadke (3 as a "bridge" between manufacturing and design. In (14, 15) an early review of the defining elements

  2. MULTI-WAVE METHODS VIA ULTRASOUND 1. Introduction Multi ...

    E-Print Network [OSTI]

    2013-05-01T23:59:59.000Z

    tion into tissues that causes heating (with increases of the temperature in the millikelvin range) which results in .... The operator P is formally self-adjoint. w.r.t. the ...

  3. An introduction to finite volume methods for diffusion problems

    E-Print Network [OSTI]

    Boyer, Franck

    ;Other models in porous media Multiphase (water/oil) flows Coupling of a Darcy-like equation ( velocity ... with some efforts. Parabolic equation. Non-linear problems. 2/ 137 F. Boyer FV for elliptic problems #12 for elliptic problems #12;Examples of Darcy or Darcy-like models Flow of an incompressible fluid in a porous

  4. Introduction Two-dimensional (2D) methods for

    E-Print Network [OSTI]

    Prentiss, Mara

    need 3D structures in order to implement complex designs. These re- quirements have stimulated or printing. PDMS is inexpen- sive, homogeneous, optically transparent, nontoxic, and commercially available. The flexibility of the PDMS replicas also al- lows patterning by microcontact printing or micromolding

  5. GEO 295: Introduction to Geologic Field Methods Department of Geosciences

    E-Print Network [OSTI]

    Kurapov, Alexander

    Bottles-Everybody needs up to 4 quarts of water each day in the field. Hard plastic bottles best since most students freeze their bottles each night. Camelbacks are also very good. · Lunch Container-8" x 8

  6. An introduction to data assimilation

    E-Print Network [OSTI]

    Mancini, Simona

    .g. glaciology, nuclear energy, medicine, agriculture planning. . . ) Closely linked to inverse methods, control

  7. GEOLOGY, April 2008 275 INTRODUCTION

    E-Print Network [OSTI]

    van Keken, Peter

    are mostly investigated through indirect methods such as geodynamic modeling and experimental petrol- ogy (e

  8. An Introduction to Venture Capital Granite representatives

    E-Print Network [OSTI]

    Anderson, Richard

    May 2006 An Introduction to Venture Capital #12;2 Granite representatives Sam Kingsland ­ Managing;3 Introduction to Granite Ventures Founded in 1992 Granite has 9 investment professionals Over $1B under

  9. Introduction to Scanning Microwave Microscopy Mode

    E-Print Network [OSTI]

    Anlage, Steven

    Wenhai Han Introduction to Scanning Microwave Microscopy Mode Application Note Introduction Mapping through" and meanwhile achieve sufficient sensitivity and resolution. With the invention of scanning been developed to probe materials properties. These include scanning near-field to scanning microwave

  10. 1 Introduction 1.1 Motivation

    E-Print Network [OSTI]

    Pratt, Vaughan

    1 Introduction 1.1 Motivation Most tasks require a person or an automated system to reason: to take focus in this book is on models for complex sys- #12;2 Chapter 1. Introduction tems that involve

  11. AN INTRODUCTION TO R DEEPAYAN SARKAR

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    AN INTRODUCTION TO R DEEPAYAN SARKAR Introduction and examples What is R?. R provides(100, base = 10) Date: May 2012. 1 #12;2 DEEPAYAN SARKAR [1] 2 > runif(10) [1] 0.39435130 0.98811744 0

  12. Developpement WebIntroduction generale Developpement Web

    E-Print Network [OSTI]

    Richer, Jean-Michel

    D´eveloppement WebIntroduction g´en´erale D´eveloppement Web Introduction g´en´erale Jean #12;D´eveloppement WebIntroduction g´en´erale Plan Plan 1 Introduction 2 Historique et ´evolution du Web 3 Difficult´e du d´eveloppement Web 4 Le Web dans le monde actuel 2 / 58 #12;D´eveloppement Web

  13. Model-Checking A Tutorial Introduction

    E-Print Network [OSTI]

    MĂĽller-Olm, Markus

    Model-Checking A Tutorial Introduction Markus M¨uller-Olm1 , David Schmidt2 , and Bernhard Steffen1

  14. Introduction to Black Hole Evaporation

    E-Print Network [OSTI]

    Pierre-Henry Lambert

    2014-01-16T23:59:59.000Z

    These lecture notes are an elementary and pedagogical introduction to the black hole evaporation, based on a lecture given by the author at the Ninth Modave Summer School in Mathematical Physics and are intended for PhD students. First, quantum field theory in curved spacetime is studied and tools needed for the remaining of the course are introduced. Then, quantum field theory in Rindler spacetime in 1+1 dimensions and in the spacetime of a spherically collapsing star are considered, leading to Unruh and Hawking effects, respectively. Finally, some consequences such as thermodynamics of black holes and information loss paradox are discussed.

  15. Introduction to Safety Culture Advice

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes | NationalCurriculum Introduction to Radioecology (3 hrs)Safety

  16. An introduction to classical and statistical thermodynamics

    E-Print Network [OSTI]

    Carnot cycle basis of all thermal engines · Sadi Carnot : Why not use two sources a-Wah Cheng March 22nd , 2011 #12;2 Overview 1. Introduction 2. The concept of reversibility 3. First law the dynamical states 1. Introduction #12;7 Overview 1. Introduction 2. The concept of reversibility 03/2011 K

  17. Introduction to Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence (G51IAI) Dr Rong Qu Neural Networks #12;G51IAI ­ Introduction to AI Neural Networks Chapter 20 ­ Artificial Intelligence : A Modern Approach (AIMA) Russell ­ Introduction to AI Neural Networks More precisely: Artificial Neural Networks Simulating, on a computer, what

  18. Introduction to Network Science 1 Random Models

    E-Print Network [OSTI]

    Safro, Ilya

    to the degree distribution in random model ... #12;Introduction to Network Science 4 In contrast to the degree distribution in random model ... #12;Introduction to Network Science 5 Newman, "Random graphs as models of vertices. Average component size #12;Introduction to Network Science 15 Distribution of component sizes #12;

  19. Examination of Hydrate Formation Methods: Trying to Create Representative Samples

    E-Print Network [OSTI]

    Kneafsey, T.J.

    2012-01-01T23:59:59.000Z

    Methods: Trying to Create Representative Samples Timothy J.Methods: Trying to Create Representative Samples Timothy J.Introduction Forming representative gas hydrate-bearing

  20. 1 Finding the Structure of Documents 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    E-Print Network [OSTI]

    Favre, Benoit

    Contents 1 Finding the Structure of Documents 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 Sentence Boundary Detection . . . . . . . . . . . . . . . . 2 1.1.2 Topic Boundary Detection . . . . . . . . . . . . . . . . . . 4 1.2 Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2.1 Generative

  1. GEOLOGY, October 2009 951 INTRODUCTION

    E-Print Network [OSTI]

    Saltzman, Matthew R.

    in an ~3­6 m.y. time interval spanning the Mid- dle-Late Ordovician boundary (late Darriwil- ian), but little change in the Lower and Mid- dle Ordovician. METHODS AND RESULTS Carbonate rock samples were

  2. Introduction to spherical field theory

    E-Print Network [OSTI]

    Dean Lee

    1998-11-12T23:59:59.000Z

    Spherical field theory is a new non-perturbative method for studying quantum field theories. It uses the spherical partial wave expansion to reduce a general d-dimensional Euclidean field theory into a set of coupled one-dimensional systems. The coupled one-dimensional systems are then converted to partial differential equations and solved numerically. We demonstrate the methods of spherical field theory by analyzing Euclidean phi^4 theory in two dimensions.

  3. Introduction - DOE Directives, Delegations, and Requirements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Chp 1, Introduction by John Makepeace Functional areas: Work Processes The objective of this Guide is to improve the quality of cost estimates and further strengthen the DOE...

  4. Steam System Tool Suite Introduction Guide

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Steam System Tool Suite Introduction Guide Alternate Text Narratives and Graphic.............................................................................................................................6 Modules Steam System Scoping Tool (SSST)........................................................................................8 Steam System Assessment Tool (SSAT

  5. Stormwater Quality Controls in SLAMM Introduction .....................................................................................................................................................................................2

    E-Print Network [OSTI]

    Pitt, Robert E.

    D-1 Appendix D Stormwater Quality Controls in SLAMM Introduction.........................................................................................................................................20 Nuisance Conditions in Wet Detention Ponds and Degraded Water Quality

  6. 1 Introduction 4 1.1 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . *

    E-Print Network [OSTI]

    Martin, Alain

    Contents 1 Introduction 4 1.1 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . * * 4 1.1.1 Early Experimental Work . . . . . . . . . . . . . . . . 4 1.2 Structure of This Paper

  7. Introduction to Chemistry and Material Sciences Applications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Intro Chem and MatSci Apps Introduction to Chemistry and Material Sciences Applications June 26, 2012 L ast edited: 2014-06-02 08:56:54...

  8. Introduction to Renormalization in Field Theory

    E-Print Network [OSTI]

    Ling-Fong Li; Chongqing

    2012-08-23T23:59:59.000Z

    A simple introduction of renormalization in quantum field theory is discussed. Explanation of concepts is emphasized instead of the technical details.

  9. IntroductionIntroduction The Ashland BLM Field Office has actively pursued fuel reduction since 1996. Treatment

    E-Print Network [OSTI]

    Muir, Patricia

    IntroductionIntroduction The Ashland BLM Field Office has actively pursued fuel reduction since hazardous fuels in the wildland urban interface (WUI). The Ashland Field Office has completed 12 landscape

  10. Introduction to protein folding for physicists

    E-Print Network [OSTI]

    Pablo Echenique

    2007-05-13T23:59:59.000Z

    The prediction of the three-dimensional native structure of proteins from the knowledge of their amino acid sequence, known as the protein folding problem, is one of the most important yet unsolved issues of modern science. Since the conformational behaviour of flexible molecules is nothing more than a complex physical problem, increasingly more physicists are moving into the study of protein systems, bringing with them powerful mathematical and computational tools, as well as the sharp intuition and deep images inherent to the physics discipline. This work attempts to facilitate the first steps of such a transition. In order to achieve this goal, we provide an exhaustive account of the reasons underlying the protein folding problem enormous relevance and summarize the present-day status of the methods aimed to solving it. We also provide an introduction to the particular structure of these biological heteropolymers, and we physically define the problem stating the assumptions behind this (commonly implicit) definition. Finally, we review the 'special flavor' of statistical mechanics that is typically used to study the astronomically large phase spaces of macromolecules. Throughout the whole work, much material that is found scattered in the literature has been put together here to improve comprehension and to serve as a handy reference.

  11. Introduction to NMR Quantum Information Processing

    E-Print Network [OSTI]

    R. Laflamme; E. Knill; D. G. Cory; E. M. Fortunato; T. Havel; C. Miquel; R. Martinez; C. Negrevergne; G. Ortiz; M. A. Pravia; Y. Sharf; S. Sinha; R. Somma; L. Viola

    2002-07-30T23:59:59.000Z

    After a general introduction to nuclear magnetic resonance (NMR), we give the basics of implementing quantum algorithms. We describe how qubits are realized and controlled with RF pulses, their internal interactions, and gradient fields. A peculiarity of NMR is that the internal interactions (given by the internal Hamiltonian) are always on. We discuss how they can be effectively turned off with the help of a standard NMR method called ``refocusing''. Liquid state NMR experiments are done at room temperature, leading to an extremely mixed (that is, nearly random) initial state. Despite this high degree of randomness, it is possible to investigate QIP because the relaxation time (the time scale over which useful signal from a computation is lost) is sufficiently long. We explain how this feature leads to the crucial ability of simulating a pure (non-random) state by using ``pseudopure'' states. We discuss how the ``answer'' provided by a computation is obtained by measurement and how this measurement differs from the ideal, projective measurement of QIP. We then give implementations of some simple quantum algorithms with a typical experimental result. We conclude with a discussion of what we have learned from NMR QIP so far and what the prospects for future NMR QIP experiments are.

  12. EGGN 100 -INTRODUCTION TO ENGINEERING COURSE DESCRIPTION

    E-Print Network [OSTI]

    de Lijser, Peter

    Engineering design project - Continued Week 13 Field Trip to an Engineering site Project reviews, demosEGGN 100 - INTRODUCTION TO ENGINEERING COURSE DESCRIPTION Introduction to engineering disciplines and their sub-fields, basic tools used in engineering practice, hands-on engineering projects. COURSE OBJECTIVE

  13. 1 Introduction Objectives 1-1

    E-Print Network [OSTI]

    Hagan, Martin

    Objectives 1-1 1 1 Introduction Objectives 1-1 History 1-2 Applications 1-5 Biological Inspiration 1-8 Further Reading 1-10 Objectives As you read these words you are using a complex biological and their training. #12;1 Introduction 1-2 History The history of artificial neural networks is filled with colorful

  14. Introduction to Statistical Linear Models Spring 2005

    E-Print Network [OSTI]

    of multivariate data and in the language of matrices and vectors. Broad introduction to MATLAB/Octave, R (SSyllabus Introduction to Statistical Linear Models 960:577:01 Spring 2005 Instructor: Farid Statistical Analysis" Fifth edition, Prentice Hall, 2002. Other sources may be required and will be posted

  15. Introduction Discrete-time autoregressive process

    E-Print Network [OSTI]

    Di Girolami, Cristina

    Introduction Discrete-time autoregressive process Continuous-time Ornstein-Uhlenbeck process Sharp large deviations for the non-stationary Ornstein-Uhlenbeck process Bernard Bercu Bordeaux University-Uhlenbeck process 1 / 46 #12;Introduction Discrete-time autoregressive process Continuous-time Ornstein

  16. Chemistry @ Imperial College 2007 Introduction

    E-Print Network [OSTI]

    techniques from a wide variety of disciplines, they are able to directly observe, model or even manipulate and protein biosynthesis, as well as how these events are regulated. By drawing knowledge and experimental-molecule control of protein function and properties, methods for predicting which molecules will display desirable

  17. Introduction to Computational Fluid Dynamics 424512 E #1 -rz Introduction to Computational Fluid Dynamics

    E-Print Network [OSTI]

    Zevenhoven, Ron

    Introduction to Computational Fluid Dynamics 424512 E #1 - rz Introduction to Computational Fluid Dynamics (iCFD) 424512.0 E, 5 sp / 3 sw 1. Introduction; Fluid dynamics (lecture 1 of 5) Ron Zevenhoven Ă?bo to Computational Fluid Dynamics 424512 E #1 - rz april 2013 Ă?bo Akademi Univ - Thermal and Flow Engineering

  18. 6 Inventory 6.1.1 Introduction

    E-Print Network [OSTI]

    117 6 Inventory 6.1.1 Introduction The inventory for the Lake Chelan subbasin summarizes fish, restoration, and research. The inventory provides a baseline of activity from which future management

  19. Introduction to Geomorphology Lecture 1 1

    E-Print Network [OSTI]

    Venditti, Jeremy G.

    .g. slate, schist, gneiss, and marble) http://pubs.usgs.gov/imap/i2781/ #12;Introduction to Geomorphology (slate) Slate (Shale) Quartzite (sandstone) Hornfels (Many sed.) FineCoarse IncreasingMetamorphism Fine

  20. Introduction to Benchmarking: Starting a Benchmarking Plan

    Broader source: Energy.gov [DOE]

    Presentation for the Introduction to Benchmarking: Starting a Benchmarking Plan webinar, presented on February 21, 2013 as part of the U.S. Department of Energy's Technical Assistance Program (TAP).

  1. Copyright 2006 by ASME1 INTRODUCTION

    E-Print Network [OSTI]

    Gefen, Amit

    Copyright © 2006 by ASME1 INTRODUCTION Transtibial amputation (TTA) patients spend more energy of a slice through the residual limb was solved in real-time by employing a custom-made FE code [3] which

  2. Introduction Aliphatic polyesters derived from renewable

    E-Print Network [OSTI]

    Introduction Aliphatic polyesters derived from renewable resources are of increasing interest, there are also opportunities to derive lactones from biomass, which can then be converted to a wide range

  3. Introduction to Electrical and Computer Engineering

    E-Print Network [OSTI]

    Batten, Christopher

    Introduction to Electrical and Computer Engineering Christopher Batten Computer Systems Laboratory School of Electrical and Computer Engineering Cornell University ENGRG 1060 Explorations in Engineering Computer Engineering Design Power Systems Computer Engineering Electrical Circuits Electrical Devices

  4. Introduction: The California Top Two Primary

    E-Print Network [OSTI]

    Sinclair, Betsy

    2015-01-01T23:59:59.000Z

    with the adoption of the top two primary, and we lookIntroduction: The California Top Two Primary Betsy Sinclairfrequently asserted that the “top-two” would produce more

  5. INTRODUCTION Sophisticated automation is becoming ubiq-

    E-Print Network [OSTI]

    Lee, John D.

    INTRODUCTION Sophisticated automation is becoming ubiq- uitous, appearing in work environments as di- verse as aviation, maritime operations, process control, motor vehicle operation, and informa- tion retrieval. Automation is technology that actively selects data, transforms information, makes

  6. Security Lab Series Introduction to Web Technologies

    E-Print Network [OSTI]

    Tao, Lixin

    Security Lab Series Introduction to Web Technologies Prof. Lixin Tao Pace University http...........................................................................................................................................1 1.1 Web ArchitectureScript..................................................................................16 4.6 Creating Your First JavaServer Page Web Application

  7. Climate Workshops for Department Chairs Introduction

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    Sheridan, Jennifer

    #12;Climate Workshops for Department Chairs Introduction Why focus on Department Chairs? Goals participating departments Evidence from Campus-wide Climate Surveys #12;Why focus on Department Chairs? Individuals experience climate in their immediate workplace ­ the department Chairs can significantly

  8. Evolution and Ethics Introduction to Evolution

    E-Print Network [OSTI]

    Mittal, Aditya

    · Ethics and New Biology #12;Introduction to Evolution Darwinism is a monolithic theory? #12;www fact may be defined as a theory that has been repeatedly confirmed and never refuted. Evolution fits

  9. Distributed DBMS Page 4. 1 I Introduction

    E-Print Network [OSTI]

    Chen, Yangjun

    Distributed DBMS Page 4. 1 Outline I Introduction I Background Distributed DBMS Architecture Datalogical Architecture Implementation Alternatives Component Architecture Distributed DBMS Architecture Management Parallel Database Systems Distributed Object DBMS Database Interoperability Current Issues #12

  10. Introduction The bay scallop, Argopecten irradi-

    E-Print Network [OSTI]

    71(3) 17 Introduction The bay scallop, Argopecten irradi- ans amplicostatus, has been present (Garcia-Cubas, 1968). Historical Uses Mollusks were used by the pre-Co- lumbian cultures in Mexico as food

  11. AN INTRODUCTION TO R DEEPAYAN SARKAR

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    AN INTRODUCTION TO R DEEPAYAN SARKAR Language Overview II In this tutorial session, we will learn" > class(y) [1] "table" > mode(y) Date: October 2011. 1 #12;2 DEEPAYAN SARKAR [1] "numeric" > print(x) [1

  12. Chapter 3. Markets for electrical energy Introduction

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    Ernst, Damien

    Chapter 3. Markets for electrical energy 1 #12;Introduction Assumption: All the generators #12;Megawatt-hours not barrels of oil Electrical energy linked to a physical system where supply

  13. Introduction Wetlands are increasingly used for wastewater

    E-Print Network [OSTI]

    Hall, Sharon J.

    Introduction Wetlands are increasingly used for wastewater treatment Plant community changes and related nutrient retention within an aridland constructed wastewater treatment wetland How does plant community composition change in an aridland constructed wastewater treatment wetland and how do those

  14. Introduction to Bioinformatics A Systems Biology Approach

    E-Print Network [OSTI]

    Rocha, Luis

    Introduction to Bioinformatics A Systems Biology Approach Luis M. Rocha Complex Systems Modeling Computational Biology to Bioinformatics Course Layout: March 11-15, 2002 #12;P Systems Biology P Synthetic, Multi- Disciplinary Approach

  15. 88 Power Series 8.1 Introduction and Review of Power Series

    E-Print Network [OSTI]

    Sikora, Adam S.

    88 Power Series Methods 8.1 Introduction and Review of Power Series In Section 3.3 we saw by inspection, linear equations with variable coefficients generally require the power series techniques - 2xy + n(n + 1)y = 0. In this section we introduce the power series method in its simplest form and

  16. An introduction to Lie group integrators – basics, new developments and applications

    SciTech Connect (OSTI)

    Celledoni, Elena, E-mail: elenac@math.ntnu.no [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)] [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway); Marthinsen, Hĺkon, E-mail: hakonm@math.ntnu.no [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)] [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway); Owren, Brynjulf, E-mail: bryn@math.ntnu.no [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)] [Department of Mathematical Sciences, NTNU, N-7491 Trondheim (Norway)

    2014-01-15T23:59:59.000Z

    We give a short and elementary introduction to Lie group methods. A selection of applications of Lie group integrators are discussed. Finally, a family of symplectic integrators on cotangent bundles of Lie groups is presented and the notion of discrete gradient methods is generalised to Lie groups.

  17. Chapter 1: Introduction. Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy:WhetherNovemberRemoval of C-SiteTheCertificate ofApril6:04-15-119:

  18. Introduction Computational Efficiency Electricity Portfolio Planning Electricity Portfolios

    E-Print Network [OSTI]

    Introduction Computational Efficiency Electricity Portfolio Planning Electricity Portfolios 2009/11/30­12/01 István Maros Electricity Portfolio #12;Introduction Computational Efficiency Electricity Portfolio Outline 1 Introduction 2 Computational Efficiency 3 Electricity Portfolio Approximate

  19. Math Information Session -Introduction Mathematical Sciences Information Session

    E-Print Network [OSTI]

    Fukshansky, Lenny

    Math Information Session - Introduction Mathematical Sciences Information Session Department of Mathematical Sciences Claremont McKenna College August 30, 2013 #12;Math Information Session - Introduction Welcome to CMC Mathematical Sciences! #12;Math Information Session - Introduction Welcome to CMC

  20. algorithm based method: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Algorithm Computer Technologies and Information Sciences Websites Summary: for LTSA in a special case. 1 Introduction Manifold learning (ML) methods have attracted...

  1. auto combustion method: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    cermets: microstructure and objectives Combustion synthesis, also called self-propagating high- temperature synthesis (SHS), is a method ). The introduction of TiCx...

  2. A windowed Fourier pseudospectral method for hyperbolic conservation laws

    E-Print Network [OSTI]

    Wei, Guo-Wei

    efficient methods for challenging problems in heterogeneous groundwater modeling and simulation [31 singular convolution; Local spectral wavelets; Adaptive lowpass filters; Gibbs oscillations 1. Introduction

  3. Introduction to Small-Scale Wind Energy Systems (Including RETScreen...

    Open Energy Info (EERE)

    Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Study) (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Introduction to Small-Scale...

  4. Power to the Plug: An Introduction to Energy, Electricity, Consumption...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Below is...

  5. Introduction to RoboticsIntroduction to Robotics Jee-Hwan Ryu

    E-Print Network [OSTI]

    Ryu, Jee-Hwan

    the robots of science fiction. HONDA ASIMO Application Areas of Robots 1970 1990 20102000 Automotive Field Service HospitalHospital Elder, DisabledElder, Disabled #12;Industrial Robots LCD Transfer WeldingIntroduction to RoboticsIntroduction to Robotics Jee-Hwan Ryu School of Mechanical Engineering

  6. Montana State University EIND 101 Introduction to Industrial Engineering EIND 101: INTRODUCTION TO INDUSTRIAL ENGINEERING

    E-Print Network [OSTI]

    Dyer, Bill

    Montana State University EIND 101 Introduction to Industrial Engineering EIND ­ 101: INTRODUCTION TO INDUSTRIAL ENGINEERING (Revised 11/4/11) CATALOG DATA: PREREQUISITE: Must be taken the first year enrolled in IE program. Overview of the industrial engineering profession. Lectures will concentrate on tools

  7. University of Michigan college of engineering 1 2010 2011 BUlletin IntroductIon

    E-Print Network [OSTI]

    Papalambros, Panos

    University of Michigan · college of engineering 1 2010 · 2011 BUlletin IntroductIon For students the University of Michigan College of Engineering. Michigan Engineering offers a rare combination of high. Michigan Engineers--at the graduate and undergraduate levels--learn how to apply the latest developments

  8. PHEV Market Introduction Workshop Summary Report

    SciTech Connect (OSTI)

    Weber, Adrienne M [ORNL; Sikes, Karen R [ORNL

    2009-03-01T23:59:59.000Z

    The Plug-In Hybrid Electric Vehicle (PHEV) Market Introduction Study Workshop was attended by approximately forty representatives from various stakeholder organizations. The event took place at the Hotel Helix in Washington, D.C. on December 1-2, 2008. The purpose of this workshop was to follow-up last year s PHEV Value Proposition Study, which showed that indeed, a viable and even thriving market for these vehicles can exist by the year 2030. This workshop aimed to identify immediate action items that need to be undertaken to achieve a successful market introduction and ensuing large market share of PHEVs in the U.S. automotive fleet.

  9. An informal introduction to program transformation

    SciTech Connect (OSTI)

    Hopkins, K.W. [Southwest Baptist Univ., Bolivar, MO (United States)

    1994-08-01T23:59:59.000Z

    In the summer of 1992, I had the opportunity to participate in a Faculty Research Program, at Argonne National Laboratory. During that time I came in contact with some developments in computer science that were unfamiliar to me as a mathematician. Since most mathematicians have some exposure to computers, but certainly are not computer scientists, I felt it was appropriate to write a paper summarizing my introduction to program transformation. This paper is not meant to be a full explanation of the topic, but an informal introduction for the ``mathematical layman.``

  10. INTRODUCTION INTRODUCTION

    E-Print Network [OSTI]

    · Computer Science · Computers and Intelligence (C4I) Systems · Electronic Warfare Systems International solving experiences on DoD relevant issues; · advances DoN/DoD technology; · solves warfare problems · Information Systems and Operations · Information Systems and Technology · Information Warfare · Operations

  11. Introduction Introduction

    E-Print Network [OSTI]

    Silicon detector \\Upsilon Argon­ethane \\Gamma! Helium­propane \\Xi Data Sample Analyses presented 0 \\Xi Angular Distribution d 3 \\Gamma d cos `D \\Lambdad cos ` aedŘ = 9 32ß fi fi 2H0 cos `D \\Lambda

  12. Introduction to Network Analysis 15 Generating Functions and Degree Distributions

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    Introduction to Network Analysis 15 Generating Functions and Degree Distributions #12;Introduction to Network Analysis 16 Polylogarithm drawn values add to a specific sum #12;Introduction to Network Analysis-loops, multi-edges #12;Introduction to Network Analysis 18 Configuration Model Conclusion: expected number

  13. THEMENHEFT FORSCHUNG INTELLIGENTE FAHRZEUGE76 1. Introduction

    E-Print Network [OSTI]

    Möbius, Bernd

    solution to reduce cost, petroleum consumption and emissions from the transportation sector. PHEVs aimTHEMENHEFT FORSCHUNG INTELLIGENTE FAHRZEUGE76 1. Introduction Public awareness of climate change and of the importance of energy savings is increasing and governments are encourag- ing the use of renewable energy

  14. 1 INTRODUCTION 1.1 Jacked piles

    E-Print Network [OSTI]

    Bolton, Malcolm

    1 INTRODUCTION 1.1 Jacked piles The axial capacity of displacement piles in sand is arguably consensus of the mechanism by which a pile penetrates soil. As a consequence, the most widely used design piles. Since pile hammers and vibrators are rarely permitted in urban areas, displacement piles

  15. INTRODUCTION Aquatic food-webs' ecology

    E-Print Network [OSTI]

    INTRODUCTION Aquatic food-webs' ecology: old and new challenges Andrea Belgrano Looking up ``aquatic food web'' on Google provides a dizzying array of eclectic sites and information (and disinformation!) to choose from. However, even within this morass it is clear that aquatic food-web research has

  16. DYNAMICSAND CONTROLOF DISTILLATIONCOLUMNS A tutorial introduction

    E-Print Network [OSTI]

    Skogestad, Sigurd

    , design changes. 1 Introduction Distillation is the most common unit operation in the chemical industry years, especially since distil- lation columns has become a favorite subject in the process systems is that distillation columns are them- selves a system; a distillation columns may be viewed as a set of integrated

  17. An Introduction to Decidability of DPDA Equivalence

    E-Print Network [OSTI]

    Stirling, Colin

    University of Edinburgh email: cps@dcs.ed.ac.uk 1 Introduction The DPDA equivalence problem was posed in 1966 produced a different proof of decidability that is essentially a simplification of S´enizergues's proof [14, the tableau proof system uses conditional proof rules that involve distances between premises. Essentially

  18. An Introduction to Decidability of DPDA Equivalence

    E-Print Network [OSTI]

    Stirling, Colin

    University of Edinburgh email: cps@dcs.ed.ac.uk 1 Introduction The DPDA equivalence problem was posed in 1966 produced a di#erent proof of decidability that is essentially a simplification of Sâ??enizergues's proof [14, the tableau proof system uses conditional proof rules that involve distances between premises. Essentially

  19. Introduction Improved Model Alternative Statistical Model

    E-Print Network [OSTI]

    Regression Linear "Linear" is for the parameter(s) e.g. yi = 0 +1xi +i Non-linear "Non-linear Square Regression Linear "Linear" is for the parameter(s) e.g. yi = 0 +1xi +i #12;Introduction Improved Model Recall of Ordinary Least-Square Regression Least Square Regression Linear "Linear

  20. Introduction to Microprocessors Jee-Hwan Ryu

    E-Print Network [OSTI]

    Ryu, Jee-Hwan

    Introduction to Microprocessors MEC382 Jee-Hwan Ryu School of Mechanical Engineering Korea Unit; CPU) IC 1971 Intel (4004->8008->8080), MPU (MicroProcessor Unit) . =MPU of Technology and Education ( ) A status register is a collection of flag bits for a microprocessor

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    E-Print Network [OSTI]

    289 4 Inventory of Existing Activities Introduction Inventory of existing activities is a key activities, which represents each agencies role in the management of the subbasin. In addition, an inventory of projects follows. This inventory is designed to be compared with the needs for fish and wildlife identified

  2. Technical Note Graphene: Substrate preparation and introduction

    E-Print Network [OSTI]

    Technical Note Graphene: Substrate preparation and introduction Radosav S. Pantelic a , Ji Won Suk September 2010 Accepted 4 October 2010 Available online xxxx Keywords: Graphene Graphene oxide Cryo the transfer of continuous, single-layer, pristine graphene to standard Quan- tifoil TEM grids. We compare

  3. 1. Introduction to Expanded Bed Adsorption

    E-Print Network [OSTI]

    Lebendiker, Mario

    1. Introduction to Expanded Bed Adsorption This handbook introduces the principles of Expanded Bed Adsorption and serves as a practical guide to the use of STREAMLINE adsorbents and columns available from Adsorption. The majority of biotechnology processes for producing pharmaceutical or diagnostic products

  4. Introduction Proposed Strategy for Cellulosic Bioethanol Production

    E-Print Network [OSTI]

    Iglesia, Enrique

    Introduction Proposed Strategy for Cellulosic Bioethanol Production Bioethanol: Eco for industries interested in new approaches for synthesizing bioethanol. Lastly, we suggest which downstream use of bioethanol would be the most eco-effective and the most economic by considering both environmental health

  5. Introduction to Magnetic Thermonuclear Fusion and

    E-Print Network [OSTI]

    Shihadeh, Alan

    Introduction to Magnetic Thermonuclear Fusion and Related Research Projects Ghassan Antar Fusion 2. Research on Turbulence (Theory and Experiment) 3. Research on Disruptions 4. Research on Plasma Facing Components #12;Ghassan Y. ANTAR 3 Fusion Occurs when Two Nuclei Unite to Form One The Energy

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    E-Print Network [OSTI]

    Almor, Amit

    School of Law Web Policy Introduction The University of South Carolina School of Law website is an important communications mechanism. The University of South Carolina School of Law website includes the main School of Law website, separate School of Law centers and program sites and student journal sites

  7. ModelChecking A Tutorial Introduction

    E-Print Network [OSTI]

    Schmidt, David A.

    Model­Checking A Tutorial Introduction Markus M¨uller­Olm 1 , David Schmidt 2 , and Bernhard to provide a practitioner with a basis she #12; 2 Markus M¨uller­Olm, David Schmidt, and Bernhard Steffen x=0

  8. Introduction Materials science and engineering is on

    E-Print Network [OSTI]

    Prentiss, Mara

    Introduction Materials science and engineering is on a plateau. As a field, it has been one is biomaterials. A Short History of Materials Science and Engineering Materials science and engineering (MS&E) has and engineering. What is the Next BigThing for Materials Science? A50-year history of productive reinven- tion

  9. CMPT820 Multimedia Systems1 Introduction

    E-Print Network [OSTI]

    Li, Ze-Nian

    CMPT820 Multimedia Systems1 Introduction Ze-Nian Li Spring 2014 CMPT 820 Multimedia Systems #12;CMPT820 Multimedia Systems2 Why this course? Multimedia is cool ! Multimedia is everywhere now and emerging applications: · JPEG/JPEG 2000 · MPEG-2/4, H.264/265 · 3G/4G mobile multimedia communications

  10. Chapter 5: The Ontology of Mind Introduction

    E-Print Network [OSTI]

    Maryland at College Park, University of

    67 Chapter 5: The Ontology of Mind Introduction This chapter takes the properties of student-generated analogies in science that were detailed in the previous chapter and introduces a theory of mind that can account for these, explaining how a particular ontology of mind can begin to account for findings

  11. Webinar: Introduction to SAE Hydrogen Fueling Standardization

    Broader source: Energy.gov [DOE]

    The Energy Department will present a live webinar titled "Introduction to SAE Hydrogen Fueling Standardization" on Thursday, September 11. The webinar will provide an overview of the SAE Standards SAE J2601 and J2799 and how they are applied to hydrogen fueling for fuel cell electric vehicles (FCEVs).

  12. Introduction to ORNL DAAC THREDDS Data Server

    E-Print Network [OSTI]

    Introduction to ORNL DAAC THREDDS Data Server #12;Outline · THREDDS Data Server (TDS) ­ How to UseCDF Subset Service · OGC WCS · HTTP Server · ORNL DAAC THREDDS Data Server #12;THREDDS Data Server (TDS) · The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific data sets

  13. Copyright 2008 by ASME1 INTRODUCTION

    E-Print Network [OSTI]

    Gefen, Amit

    Copyright © 2008 by ASME1 INTRODUCTION Individuals with a spinal cord injury (SCI) are susceptible) is built for each individual based on his/her cross-sectional MRI anatomy (Fig. 1a). The FE code multiple solutions [5]. Validation studies of the real-time FE code and system are described in [4

  14. Copyright 2006 by ASME1 INTRODUCTION

    E-Print Network [OSTI]

    Gefen, Amit

    Copyright © 2006 by ASME1 INTRODUCTION Deep pressure sores (DPS) under bony prominences and skin) was developed based on a cross-sectional MRI anatomy. The FE code is clinically-oriented and solutions [2,3]. To verify our real-time FE code for numerical accuracy, we compared its calculations

  15. Introduction to Fusion Energy Jerry Hughes

    E-Print Network [OSTI]

    Introduction to Fusion Energy Jerry Hughes IAP @ PSFC January 8, 2013 Acknowledgments: Catherine) a practical energy source on earth 2 mcE #12;Fusion is a form of nuclear energy · A huge amount of energy;Terrestrial energy sources have their origin in the nuclear fusion reactions of stars Supernova produces

  16. Magnetic Reconnection 6.1 Introduction

    E-Print Network [OSTI]

    Priest, Eric

    6 Magnetic Reconnection 6.1 Introduction Magnetic reconnection is a fundamental process or slow (in a sense defined below), although in many dynamic phenomena such as solar flares it is fast. The main effects of magnetic reconnection are often: (i) to convert some of the magnetic energy into heat

  17. Special issue on Speech Enhancement 1. Introduction

    E-Print Network [OSTI]

    Gannot, Sharon

    Editorial Special issue on Speech Enhancement 1. Introduction Speech quality is severely degraded and environment. Speech enhancement algorithms which improve the quality of speech and reduce or eliminate of microphones used to collect the acoustic signal and noise, different speech enhancement algorithms have been

  18. Introduction: Modern Energy and Modern Society

    E-Print Network [OSTI]

    Delaware, University of

    by a sudden technological breakthrough. As to the former, low- entropy energy from the sun was (and isIntroduction: Modern Energy and Modern Society John Byrne, Noah Toly, and Young-Doo Wang Spiking of the global energy system. Rising in importance are headlines that associate modern energy with modern

  19. Introduction to the Emergency Management Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21T23:59:59.000Z

    The guide provides non-mandatory guidance for the implementation of the requirements pertaining to the DOE comprehensive EMS. Volume 1 is an introduction to the program. Canceled by DOE G 151.1-1A. Does not cancel other directives.

  20. Manufacturing Fuel Pellets from Biomass Introduction

    E-Print Network [OSTI]

    Boyer, Elizabeth W.

    Manufacturing Fuel Pellets from Biomass Introduction Wood pellets have increased tremendously pellet stoves or boilers over traditional wood-fired equipment due to their relative ease of use. As a result, the demand for fuel pellets has also grown quickly. However, wood is not the only suitable

  1. Order Effects in Incremental Learning 1. Introduction

    E-Print Network [OSTI]

    Langley, Pat

    of incremental learning and introducing some distinctions among types of order effects. We then turn to a moreOrder Effects in Incremental Learning 1. Introduction Intelligent agents, including humans, exist in an environment that changes over time. Thus, it seems natural that models of learning in such agents take

  2. 1 Introduction 2 2 Preliminary results 4

    E-Print Network [OSTI]

    -torsion in Br(E) was made in the case of a local field k and all pro . . . . . . . . . . . . . . . . . . . . . * *. . . . . . . . . 5 2.4 Torsion, 1999 1 Introduction Let k be a field, char(k) 6= 2, 3, and let X be a smooth projective

  3. UGA IACUC Isoflurane Safety Guidelines I. Introduction

    E-Print Network [OSTI]

    Arnold, Jonathan

    UGA IACUC Isoflurane Safety Guidelines I. Introduction Isoflurane, a halogenated anesthetic http://www.assaytech.us/ sell and analyze `personal monitoring systems' which measure the level Guidelines Page 2 of 3 Version: Final 3811 Before Procedure: Check vaporizer system for leaks o

  4. Inorganic Plant Nutrients: Nitrogen, Phosphorus, Silicate Introduction

    E-Print Network [OSTI]

    Jochem, Frank J.

    Lab 3: Inorganic Plant Nutrients: Nitrogen, Phosphorus, Silicate Introduction Compounds of nitrogen. Silicate can play a regulating role in the growth of such organisms that carry shells of silicate. Most important are diatoms, which may form phytoplankton blooms under conditions of sufficient silicate

  5. Permeation & Degradation Data Introduction to the

    E-Print Network [OSTI]

    Oyet, Alwell

    Permeation & Degradation Data 8thEDITION #12;Introduction to the 8th Edition When reviewing. Ansell's ASTM standard permeation and degradation tests are presented on the following pages as an aid ratings are comparisons of permeation rates to each other. Degradation is a reduction in one or more

  6. Realized Stock Volatility 2.1 Introduction

    E-Print Network [OSTI]

    Niebur, Ernst

    Chapter 2 Realized Stock Volatility 2.1 Introduction Financial market volatility is indispensable for asset and derivative pricing, asset allocation, and risk management. As volatility is not a directly is to calculate the daily volatility from the sample variance of intraday returns, the `realized' volatility

  7. Chemical Hygiene Plan 1.0 Introduction

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    Chemical Hygiene Plan 1.0 Introduction Satisfying Cal-OSHA (Title 8 CCR 5191) and campus regulations, this Chemical Hygiene Plan includes safety information specific to the Center for Nano and Micro chemicals and gasses available. If you have any questions about this Chemical Hygiene Plan, please email

  8. CMA Operating Manual: Canon Mask Aligner Introduction

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    CMA Operating Manual: Canon Mask Aligner Introduction Use the Canon PLA-501F Mask Aligner (See Fig: Dan Haskell, 1125 Kemper Hall Corey Wolin, 1125 Kemper Hall Lab Manager Pre-operational Checklist Before you enter the cleanroom: 1. Have you arranged training from the superuser or lab manager

  9. UC Davis Policy and Procedure Manual Introduction

    E-Print Network [OSTI]

    California at Davis, University of

    UC Davis Policy and Procedure Manual Introduction Development and Management of Campus Sections Exhibit B, Policy Development Best Practices Exhibit C, New Policy Development Plan Exhibit D of the Chancellor and Provost Source Document: N/A 1 of 5 Exhibit A, Structure for Policy and Procedure Manual

  10. Edgar Nett Mobile Computer Communication 4 Introduction

    E-Print Network [OSTI]

    Edgar Nett Mobile Computer Communication 4 Introduction #12;Edgar Nett Mobile Computer to roam (handover) -ŕ Integration of information and communication technology #12;Edgar Nett Mobile;Edgar Nett Mobile Computer Communication 8 General objectives: q Substitution of an inflexible wired

  11. Introduction My soul is full of longing

    E-Print Network [OSTI]

    Chapter 1 Introduction My soul is full of longing For the secret of the sea, And the heart whose oceans and atmosphere are rich in structure, and alive with currents, waves and eddies spanning of the trade winds also shuts down upwelling in the eastern equatorial Pacific, reducing the inflow

  12. 1093. Science case 3.1 Introduction

    E-Print Network [OSTI]

    Liske, Jochen

    1093. Science case 3.1 Introduction When the development of the OWL concept started in 1997, its size was set to the rather overwhelming 100-m diameter in order to be able to reach three main science of earth-like planets around other stars. These science cases were supported by qualitative

  13. MArCh 2008 46 Introduction

    E-Print Network [OSTI]

    Feng, Xizhou

    Systems #12;MArCh 2008 47 4 US-Canada Power System Outage Task Force. Final Report on the August 14, 2003MArCh 2008 46 Introduction This article describes our ongoing efforts to develop a global modeling-resolution scalable models of complex socio-technical systems;i. Service-oriented architecture and delivery mechanism

  14. INTRODUCTION Pedogenic (secondary) calcium carbonate is,

    E-Print Network [OSTI]

    Ahmad, Sajjad

    INTRODUCTION Pedogenic (secondary) calcium carbonate is, by definition, a product of soil processes of calcium for pe- dogenic calcium carbonate (Gile et al., 1979). In regard to the source of the carbonate; Cerling et al., 1989; Quade et al., 1989). Because pedogenic calcium carbonate is read- ily soluble, its

  15. Mobile Agents: An Introduction Gian Pietro Picco

    E-Print Network [OSTI]

    Picco, Gian Pietro

    , illustrating the foun- dations of architectures and technologies for mobile agents, and discussing some, including mobile agents. Section IV con- tains a critical discussion of the mobile agent technology1 Mobile Agents: An Introduction Gian Pietro Picco Dipartimento di Elettronica e Informazione

  16. NARES CULTURE FOR MRSA SCREENING I. INTRODUCTION

    E-Print Network [OSTI]

    Kay, Mark A.

    NARES CULTURE FOR MRSA SCREENING I. INTRODUCTION Active Surveillance Testing (AST) to detect newly admitted patients who are nasally colonized with MRSA is required in 2009 to comply with California Health an anterior nares specimen for MRSA screening. III. SUPPLIES 1. For children, adolescents and adults: BD BBL

  17. The Software Engineering Master's Program 1. Introduction

    E-Print Network [OSTI]

    of Embedded Real-time Systems; ___SW4581 Software Reliability (3-1); ___SW4582 Weapons System Software SafetyThe Software Engineering Master's Program 1. Introduction The Software Engineering program at the U to learn all aspects of software development and the skills needed to efficiently and reliably plan

  18. JET neutral beam power upgrade Introduction

    E-Print Network [OSTI]

    JET neutral beam power upgrade Introduction A tokamak is a complex assembly, a system of systems the challenging requirements that fusion demands. The neutral beam heating system and its upgrade for the JET systems) are the main plasma heating scheme on fusion devices such as JET and ITER. The JET neutral beam

  19. Remote Sensing Ayman F. Habib Introduction

    E-Print Network [OSTI]

    Habib, Ayman

    Remote Sensing Ayman F. Habib 1 Chapter 1 Introduction #12;Remote Sensing Ayman F. Habib 2 Overview · Remote sensing: definition. · Remote sensing versus photogrammetry. · Elements of remote sensing. · Key;Remote Sensing Ayman F. Habib 3 Overview · Acquisition platforms: ­ Historical overview. ­ Terrestrial

  20. 7.9 STAFF RECORDS INTRODUCTION

    E-Print Network [OSTI]

    University of Technology, Sydney

    management of staff records inaccordancewith the NSW State Records Act, the Privacy & Personal Information ProtectionActand UTS RecordsManagement policyand the University Records website. Staff records are createdina7.9 STAFF RECORDS INTRODUCTION These guidelines explain the nature ofstaff records